{"id":"W7133401187","doi":"","title":"Gérer les licences open source dans les développements logiciels","year":2017,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Legislation; Open source; Government (linguistics); Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009676699,0.0004279636,0.0004341523,0.0001257546,0.004756689,0.006474767,0.00780947,0.000282352,0.001054834],"category_scores_gemma":[0.0007129522,0.0004298702,0.000136343,0.0005083182,0.001116648,0.002952125,0.005717496,0.000531648,0.00138658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002031098,"about_ca_system_score_gemma":0.0005274534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054871,"about_ca_topic_score_gemma":0.002581069,"domain_scores_codex":[0.9967005,0.000218007,0.0006111237,0.0009828282,0.0005872007,0.0009002882],"domain_scores_gemma":[0.995755,0.0002437762,0.0007004208,0.002652609,0.0003985908,0.0002495872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001299004,0.0006861436,0.2952477,0.00008056905,0.0002371479,0.0002416295,0.02521715,0.0003885891,0.001061367,0.1619887,0.08728663,0.4275514],"study_design_scores_gemma":[0.0006143685,0.0001700309,0.1697104,0.000515418,0.00006352192,0.00008555973,0.001903408,0.003486463,0.001327449,0.00470657,0.8165482,0.0008686134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1025423,0.000748383,0.5257148,0.1360474,0.003661606,0.001296256,0.0001078797,0.0003265615,0.2295548],"genre_scores_gemma":[0.7099091,0.0003000407,0.07138681,0.001034537,0.0004983732,0.0001138415,0.00001645973,0.00006532809,0.2166755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7292616,"threshold_uncertainty_score":0.9998583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255995306763893,"score_gpt":0.3532370307040028,"score_spread":0.2276375000276135,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}