{"id":"W7133475310","doi":"","title":"La santé des écosystèmes des logiciels open source","year":2018,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Service (business); Open source; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001556168,0.0003697251,0.000393775,0.0001791864,0.001417522,0.002539993,0.003515139,0.0002703874,0.001442806],"category_scores_gemma":[0.0009761397,0.0003739616,0.0001207558,0.002299726,0.002870547,0.002079656,0.002844283,0.0004000173,0.003380103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428343,"about_ca_system_score_gemma":0.0004762755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728291,"about_ca_topic_score_gemma":0.001250652,"domain_scores_codex":[0.9967765,0.0006214006,0.0005225631,0.0007800218,0.00036231,0.0009371547],"domain_scores_gemma":[0.996762,0.0007832441,0.0002325895,0.001257998,0.0007036114,0.0002605307],"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":[0.00001167475,0.0004637962,0.01498519,0.00007503783,0.0001071673,0.0001114557,0.02179289,0.0000529595,0.0005771948,0.1641312,0.05105277,0.7466386],"study_design_scores_gemma":[0.0005714328,0.0004974634,0.04297583,0.0008437337,0.00006567309,0.0005680992,0.001123883,0.003366007,0.00220104,0.1003829,0.8465506,0.0008532424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1429131,0.001692298,0.6875654,0.00464762,0.001267755,0.0006378056,0.00005062961,0.0004079462,0.1608174],"genre_scores_gemma":[0.7774738,0.0001666212,0.1715353,0.001093012,0.0006801924,0.00005617116,0.000006118285,0.00006435785,0.04892442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7954979,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05772809651048874,"score_gpt":0.3366018583781477,"score_spread":0.278873761867659,"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."}}