15648631 report - OSSR Reports

Repository Information

Repository Name: GammaLearn
Record ID: 15648631
Repository URL: git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git
Tool Type: SoftwareSourceCode
Version: v0.15.0

Results

Indicator	generated by	evidence	Value	Run Status	Check passed
https://w3id.org/everse/i/indicators/codemeta_completeness	Codemeta Completeness Tool	Codemeta completeness = 33.8%, minimal threshold to consider this check to pass is set to 20.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'releaseNotes', 'softwareVersion', 'author', 'contributor', 'dateCreated', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'description', 'name', 'relatedLink', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'readme'] keys in codemeta file.	0.33783783783783783	✅	✅
https://w3id.org/everse/i/indicators/codemeta_completeness	Codemeta Completeness Tool	Codemeta completeness = 33.8%, minimal threshold to consider this check to pass is set to 50.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'releaseNotes', 'softwareVersion', 'author', 'contributor', 'dateCreated', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'description', 'name', 'relatedLink', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'readme'] keys in codemeta file.	0.33783783783783783	✅	❌
https://w3id.org/everse/i/indicators/doi_presence	SOMEF	DOI not found in SOMEF output. Confidence: 0.0%		❌	❌
https://w3id.org/everse/i/indicators/codemeta_discrepancy	SOMEF, Codemeta Completeness Tool	Comparison value: 0.6470588235294118, Threshold: 0.5, Status: True	0.6470588235294118	❌	✅

Results Output

https://w3id.org/everse/i/indicators/codemeta_completeness

Status: CompletedActionStatus
Value: 0.34
Evidence: Codemeta completeness = 33.8%, minimal threshold to consider this check to pass is set to 20.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'releaseNotes', 'softwareVersion', 'author', 'contributor', 'dateCreated', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'description', 'name', 'relatedLink', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'readme'] keys in codemeta file.
Output:

{"pass": true, "value": 0.33783783783783783, "codemeta_dict": {"@context": "https://doi.org/10.5063/schema/codemeta-2.0", "@type": "SoftwareSourceCode", "license": "https://spdx.org/licenses/MIT", "codeRepository": "git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git", "contIntegration": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/pipelines", "dateCreated": "2017-07-01", "datePublished": "2025-06-12", "dateModified": "2025-06-12", "downloadUrl": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/archive/v0.15/gammalearn-v0.15.0.tar.gz", "issueTracker": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/issues", "name": "GammaLearn", "version": "v0.15.0", "softwareVersion": "v0.15.0", "readme": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/raw/master/README.md", "maintainer": {"@type": "Person", "@id": "https://orcid.org/0000-0002-5686-2078", "givenName": "Thomas", "familyName": "Vuillaume", "email": "thomas.vuillaume@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, "description": "GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA.\nIt provides a framework to easily train and apply models from a configuration file.\nLearn more at https://purl.org/gammalearn ", "applicationCategory": "astroparticle, iact, cta", "releaseNotes": "Gammalearn v0.15.0 introduces a major refactoring of the codebase and jumps PyTorch and lightning version from v1 to v2. Other important changes include: better Wandb integration for experiments follow-up, image cleaning and DVR option", "funding": "824064", "developmentStatus": "active", "funder": {"@type": "Organization", "name": "European Union\u2019s Horizon 2020 research and innovation programme"}, "keywords": ["deep learning", "machine learning", "Gamma-ray telescopes", "cta"], "programmingLanguage": ["Python 3"], "relatedLink": ["https://purl.org/gammalearn"], "author": [{"@type": "Person", "@id": "https://orcid.org/ 0000-0002-4012-6930", "givenName": "Mikael", "familyName": "Jacquemont", "email": "mikael.jacquemont@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0002-5686-2078", "givenName": "Thomas", "familyName": "Vuillaume", "email": "thomas.vuillaume@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0002-5221-0240", "givenName": "Micha\u00ebl", "familyName": "Dell'aiera", "email": "michael.dellaiera@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}], "contributor": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-1536-9241", "givenName": "Thomas", "familyName": "Trivellato", "email": "thomas.trivellato@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0001-5226-3089", "givenName": "Tom", "familyName": "Fran\u00e7ois", "email": "tom.francois@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "", "givenName": "Vincent", "familyName": "Pollet", "email": "vincent.pollet@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0001-9582-451X", "givenName": "Justine", "familyName": "Talpaert", "email": "justine.talpaert@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}]}, "threshold": 0.2}

https://w3id.org/everse/i/indicators/codemeta_completeness

Status: CompletedActionStatus
Value: 0.34
Evidence: Codemeta completeness = 33.8%, minimal threshold to consider this check to pass is set to 50.0%. Found ['codeRepository', 'programmingLanguage', 'applicationCategory', 'downloadUrl', 'releaseNotes', 'softwareVersion', 'author', 'contributor', 'dateCreated', 'dateModified', 'datePublished', 'funder', 'keywords', 'license', 'version', 'description', 'name', 'relatedLink', 'name', 'maintainer', 'contIntegration', 'developmentStatus', 'funding', 'issueTracker', 'readme'] keys in codemeta file.
Output:

{"pass": false, "value": 0.33783783783783783, "codemeta_dict": {"@context": "https://doi.org/10.5063/schema/codemeta-2.0", "@type": "SoftwareSourceCode", "license": "https://spdx.org/licenses/MIT", "codeRepository": "git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git", "contIntegration": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/pipelines", "dateCreated": "2017-07-01", "datePublished": "2025-06-12", "dateModified": "2025-06-12", "downloadUrl": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/archive/v0.15/gammalearn-v0.15.0.tar.gz", "issueTracker": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/issues", "name": "GammaLearn", "version": "v0.15.0", "softwareVersion": "v0.15.0", "readme": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/raw/master/README.md", "maintainer": {"@type": "Person", "@id": "https://orcid.org/0000-0002-5686-2078", "givenName": "Thomas", "familyName": "Vuillaume", "email": "thomas.vuillaume@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, "description": "GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA.\nIt provides a framework to easily train and apply models from a configuration file.\nLearn more at https://purl.org/gammalearn ", "applicationCategory": "astroparticle, iact, cta", "releaseNotes": "Gammalearn v0.15.0 introduces a major refactoring of the codebase and jumps PyTorch and lightning version from v1 to v2. Other important changes include: better Wandb integration for experiments follow-up, image cleaning and DVR option", "funding": "824064", "developmentStatus": "active", "funder": {"@type": "Organization", "name": "European Union\u2019s Horizon 2020 research and innovation programme"}, "keywords": ["deep learning", "machine learning", "Gamma-ray telescopes", "cta"], "programmingLanguage": ["Python 3"], "relatedLink": ["https://purl.org/gammalearn"], "author": [{"@type": "Person", "@id": "https://orcid.org/ 0000-0002-4012-6930", "givenName": "Mikael", "familyName": "Jacquemont", "email": "mikael.jacquemont@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0002-5686-2078", "givenName": "Thomas", "familyName": "Vuillaume", "email": "thomas.vuillaume@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0002-5221-0240", "givenName": "Micha\u00ebl", "familyName": "Dell'aiera", "email": "michael.dellaiera@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}], "contributor": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-1536-9241", "givenName": "Thomas", "familyName": "Trivellato", "email": "thomas.trivellato@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0001-5226-3089", "givenName": "Tom", "familyName": "Fran\u00e7ois", "email": "tom.francois@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "", "givenName": "Vincent", "familyName": "Pollet", "email": "vincent.pollet@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0001-9582-451X", "givenName": "Justine", "familyName": "Talpaert", "email": "justine.talpaert@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}]}, "threshold": 0.5}

https://w3id.org/everse/i/indicators/codemeta_discrepancy

Status: FailedActionStatus
Value: 0.65
Evidence: Comparison value: 0.6470588235294118, Threshold: 0.5, Status: True
Output:

{"pass": true, "value": 0.6470588235294118, "threshold": 0.5, "results": {"completeness_1": 0.33783783783783783, "codemeta_version_1": "codemeta-2.0", "codemeta_version_2": "codemeta-3.0", "completeness_2": 0.0, "missing_keys_1": ["runtimePlatform", "targetProduct", "applicationSubCategory", "fileSize", "installUrl", "memoryRequirements", "operatingSystem", "permissions", "processorRequirements", "softwareHelp", "softwareRequirements", "storageRequirements", "supportingData", "citation", "copyrightHolder", "copyrightYear", "editor", "encoding", "fileFormat", "producer", "provider", "publisher", "sponsor", "isAccessibleForFree", "isPartOf", "hasPart", "position", "identifier", "sameAs", "url", "givenName", "familyName", "email", "affiliation", "identifier", "address", "", "", "softwareSuggestions", "buildInstructions", "embargoDate", "referencePublication", "creator", "", "", "", "endDate", "roleName", "startDate"], "missing_keys_2": ["codeRepository", "programmingLanguage", "runtimePlatform", "targetProduct", "applicationCategory", "applicationSubCategory", "downloadUrl", "fileSize", "installUrl", "memoryRequirements", "operatingSystem", "permissions", "processorRequirements", "releaseNotes", "softwareHelp", "softwareRequirements", "softwareVersion", "storageRequirements", "supportingData", "author", "citation", "contributor", "copyrightHolder", "copyrightYear", "dateCreated", "dateModified", "datePublished", "editor", "encoding", "fileFormat", "funder", "keywords", "license", "producer", "provider", "publisher", "sponsor", "version", "isAccessibleForFree", "isPartOf", "hasPart", "position", "description", "identifier", "name", "sameAs", "url", "relatedLink", "givenName", "familyName", "email", "affiliation", "identifier", "name", "address", "", "", "softwareSuggestions", "maintainer", "continuousIntegration", "buildInstructions", "developmentStatus", "embargoEndDate", "funding", "issueTracker", "referencePublication", "readme", "creator", "review", "reviewAspect", "reviewBody", "endDate", "roleName", "startDate"], "existing_keys_1": ["codeRepository", "programmingLanguage", "applicationCategory", "downloadUrl", "releaseNotes", "softwareVersion", "author", "contributor", "dateCreated", "dateModified", "datePublished", "funder", "keywords", "license", "version", "description", "name", "relatedLink", "name", "maintainer", "contIntegration", "developmentStatus", "funding", "issueTracker", "readme"], "existing_keys_2": [], "differences": {"codeRepository": {"value_in_1": "git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git", "value_in_2": null}, "programmingLanguage": {"value_in_1": ["Python 3"], "value_in_2": null}, "applicationCategory": {"value_in_1": "astroparticle, iact, cta", "value_in_2": null}, "downloadUrl": {"value_in_1": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/archive/v0.15/gammalearn-v0.15.0.tar.gz", "value_in_2": null}, "releaseNotes": {"value_in_1": "Gammalearn v0.15.0 introduces a major refactoring of the codebase and jumps PyTorch and lightning version from v1 to v2. Other important changes include: better Wandb integration for experiments follow-up, image cleaning and DVR option", "value_in_2": null}, "softwareVersion": {"value_in_1": "v0.15.0", "value_in_2": null}, "author": {"value_in_1": [{"@type": "Person", "@id": "https://orcid.org/ 0000-0002-4012-6930", "givenName": "Mikael", "familyName": "Jacquemont", "email": "mikael.jacquemont@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0002-5686-2078", "givenName": "Thomas", "familyName": "Vuillaume", "email": "thomas.vuillaume@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0002-5221-0240", "givenName": "Micha\u00ebl", "familyName": "Dell'aiera", "email": "michael.dellaiera@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}], "value_in_2": null}, "contributor": {"value_in_1": [{"@type": "Person", "@id": "https://orcid.org/0000-0003-1536-9241", "givenName": "Thomas", "familyName": "Trivellato", "email": "thomas.trivellato@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0001-5226-3089", "givenName": "Tom", "familyName": "Fran\u00e7ois", "email": "tom.francois@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "", "givenName": "Vincent", "familyName": "Pollet", "email": "vincent.pollet@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, {"@type": "Person", "@id": "https://orcid.org/0000-0001-9582-451X", "givenName": "Justine", "familyName": "Talpaert", "email": "justine.talpaert@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}], "value_in_2": null}, "dateCreated": {"value_in_1": "2017-07-01", "value_in_2": null}, "dateModified": {"value_in_1": "2025-06-12", "value_in_2": null}, "datePublished": {"value_in_1": "2025-06-12", "value_in_2": null}, "funder": {"value_in_1": {"@type": "Organization", "name": "European Union\u2019s Horizon 2020 research and innovation programme"}, "value_in_2": null}, "keywords": {"value_in_1": ["deep learning", "machine learning", "Gamma-ray telescopes", "cta"], "value_in_2": null}, "license": {"value_in_1": "https://spdx.org/licenses/MIT", "value_in_2": null}, "version": {"value_in_1": "v0.15.0", "value_in_2": null}, "description": {"value_in_1": "GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA.\nIt provides a framework to easily train and apply models from a configuration file.\nLearn more at https://purl.org/gammalearn ", "value_in_2": null}, "name": {"value_in_1": "GammaLearn", "value_in_2": null}, "relatedLink": {"value_in_1": ["https://purl.org/gammalearn"], "value_in_2": null}, "maintainer": {"value_in_1": {"@type": "Person", "@id": "https://orcid.org/0000-0002-5686-2078", "givenName": "Thomas", "familyName": "Vuillaume", "email": "thomas.vuillaume@lapp.in2p3.fr", "affiliation": {"@type": "Organization", "name": "Univ. Savoie Mont-Blanc, CNRS, LAPP"}}, "value_in_2": null}, "contIntegration": {"value_in_1": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/pipelines", "value_in_2": null}, "developmentStatus": {"value_in_1": "active", "value_in_2": null}, "funding": {"value_in_1": "824064", "value_in_2": null}, "issueTracker": {"value_in_1": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/issues", "value_in_2": null}, "readme": {"value_in_1": "https://gitlab.in2p3.fr/gammalearn/gammalearn/-/raw/master/README.md", "value_in_2": null}}, "equivalences": {"runtimePlatform": null, "targetProduct": null, "applicationSubCategory": null, "fileSize": null, "installUrl": null, "memoryRequirements": null, "operatingSystem": null, "permissions": null, "processorRequirements": null, "softwareHelp": null, "softwareRequirements": null, "storageRequirements": null, "supportingData": null, "citation": null, "copyrightHolder": null, "copyrightYear": null, "editor": null, "encoding": null, "fileFormat": null, "producer": null, "provider": null, "publisher": null, "sponsor": null, "isAccessibleForFree": null, "isPartOf": null, "hasPart": null, "position": null, "identifier": null, "sameAs": null, "url": null, "givenName": null, "familyName": null, "email": null, "affiliation": null, "address": null, "": null, "softwareSuggestions": null, "buildInstructions": null, "embargoDate": null, "referencePublication": null, "creator": null, "endDate": null, "roleName": null, "startDate": null}}}

Logs

Log File: docs/records/15648631/15648631_codemeta_completeness_tool_log.txt

[codemeta completeness tool] Running Codemeta Completeness Tool on record ID: 15648631

Log File: docs/records/15648631/15648631_somef_log.txt

Running SOMEF on repository: https://gitlab.in2p3.fr/gammalearn/gammalearn
SOftware Metadata Extraction Framework (SOMEF) Command Line Interface

Error: Please provide a config.json file or run somef configure.

[Somef Tool] Error occurred while processing record ID 15648631: somef file docs/records/15648631/15648631_somef.json does not exist

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