{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01557092,0.0005852747,0.0007152441,0.002976843,0.002211264,0.01151809,0.001752509,0.002583841,0.01225297],"category_scores_gemma":[0.03915764,0.0004504184,0.001102147,0.003400136,0.002916137,0.01110769,0.00450519,0.003878162,0.002256875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007942118,"about_ca_system_score_gemma":0.01113055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680613,"about_ca_topic_score_gemma":0.029532,"domain_scores_codex":[0.9900417,0.003814025,0.0003736466,0.001059401,0.003996273,0.000715029],"domain_scores_gemma":[0.9434421,0.02890259,0.003341543,0.005764574,0.01511834,0.003430871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000256,0.0005386255,0.04354478,0.001793984,0.0002706574,0.0007369704,0.009622321,0.00726732,0.01344522,0.2925327,0.03111041,0.5988811],"study_design_scores_gemma":[0.00006960227,0.0003539498,0.03565178,0.001514719,0.0001277885,0.001052051,0.007702223,0.01809434,0.009285149,0.1194533,0.8065456,0.0001494485],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2749524,0.05496022,0.3575492,0.1292972,0.002197025,0.0006346553,0.003190044,0.003822945,0.1733963],"genre_scores_gemma":[0.6197077,0.0316059,0.2709734,0.006073335,0.001093989,0.0004511331,0.003998657,0.001430178,0.06466575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9982475,"threshold_uncertainty_score":0.08234787,"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."}}