{"id":"W4395473087","doi":"10.1515/9782760642096-019","title":"Extrait du catalogue des Presses de l’Université de Montréal","year":2020,"lang":"fr","type":"book-chapter","venue":"Les Presses de l'Université de Montréal eBooks","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":["insufficient_payload"],"category_scores_codex":[0.0009238995,0.001890182,0.00141379,0.01930138,0.002294541,0.006852093,0.00144468,0.001262061,0.386167],"category_scores_gemma":[0.002917643,0.0009293159,0.0007276162,0.03201099,0.0009406207,0.002194554,0.001478388,0.001059619,0.1108476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01042685,"about_ca_system_score_gemma":0.01809767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7334647,"about_ca_topic_score_gemma":0.8612559,"domain_scores_codex":[0.9981655,0.00008547986,0.00008897649,0.0001917281,0.001238882,0.0002293925],"domain_scores_gemma":[0.9973908,0.0002909358,0.0001770109,0.0002305219,0.00148937,0.0004214083],"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":[0.00004210787,0.00001984421,0.0006566489,0.0004853006,0.00001363117,0.00009752399,0.0002817758,0.0001022992,0.0004093843,0.00503266,0.9051707,0.08768826],"study_design_scores_gemma":[0.000002959854,0.00000228358,0.001937492,0.00005944424,0.000003098465,0.0000276125,0.00004544077,0.00001037513,0.0000454389,0.00007581196,0.9977851,0.000004865819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003318258,0.07696387,0.001192027,0.003475111,0.006031923,0.0002119651,0.1053688,0.001410925,0.8020272],"genre_scores_gemma":[0.00415655,0.01292881,0.0008470787,0.0003447719,0.0005227143,0.00006877962,0.01993747,0.0004627765,0.9607311],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7334647,"threshold_uncertainty_score":0.8755583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357450692225836,"score_gpt":0.1937302317896908,"score_spread":0.1401557248674324,"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."}}