{"id":"W4399839812","doi":"10.1515/9782760623354-051","title":"50 Association canadienne-française pour l’avancement des sciences","year":2000,"lang":"fr","type":"book-chapter","venue":"Les Presses de l'Université de Montréal eBooks","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002419731,0.001011154,0.0004500145,0.004431122,0.005512337,0.008912841,0.0009007565,0.004113407,0.08473112],"category_scores_gemma":[0.005329167,0.000351106,0.0005356713,0.008290564,0.004455863,0.004413793,0.003451816,0.004040422,0.02823687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0171437,"about_ca_system_score_gemma":0.02430363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2743257,"about_ca_topic_score_gemma":0.4046021,"domain_scores_codex":[0.9974536,0.0004284848,0.00009237419,0.0003008813,0.001176848,0.0005478372],"domain_scores_gemma":[0.9957955,0.0009608181,0.0002249472,0.0002430395,0.002016288,0.000759414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001604911,0.00002316995,0.0008837746,0.0001877427,0.000008372565,0.00007909296,0.001116549,0.00007021712,0.0001244215,0.1459423,0.7983672,0.05318103],"study_design_scores_gemma":[0.00000100117,0.000001685243,0.0005241407,0.00009271342,0.000001421228,0.00002876747,0.0001005938,0.0000102518,0.000008121004,0.001104442,0.9981242,0.000002721674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00101565,0.1099484,0.0007966945,0.04769095,0.01263512,0.00004752227,0.0003370253,0.000114624,0.827414],"genre_scores_gemma":[0.01508969,0.03774827,0.0007660607,0.007507679,0.002596419,0.00006607135,0.0002998707,0.00009085443,0.9358351],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9152689,"threshold_uncertainty_score":0.5454579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1799392560047436,"score_gpt":0.3529993801419462,"score_spread":0.1730601241372026,"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."}}