{"id":"W3036574837","doi":"10.71781/4780","title":"Facteurs prédictifs d’utilisation chronique d’opioïdes dans la population non atteinte de cancer","year":2019,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Pharmacological Effects and Toxicity Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Gynecology","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.007025919,0.0007314835,0.0009300958,0.001523318,0.0005392136,0.001825195,0.0006127064,0.0008677569,0.003458501],"category_scores_gemma":[0.02210031,0.0004243521,0.002442507,0.001379884,0.0004475287,0.000818805,0.0006833949,0.001413471,0.0004070768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162737,"about_ca_system_score_gemma":0.00208198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07906283,"about_ca_topic_score_gemma":0.06590058,"domain_scores_codex":[0.9980369,0.0008962342,0.0001854551,0.0003304992,0.000340864,0.0002100636],"domain_scores_gemma":[0.9805846,0.01311767,0.003158434,0.0008384836,0.001798814,0.0005021537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004780419,0.00005627443,0.9842284,0.00009900375,0.0005963961,0.00006619767,0.0002370141,0.003201811,0.0001367015,0.0001522807,0.0004511962,0.0102966],"study_design_scores_gemma":[0.00005556731,0.0004694553,0.9665473,0.0002345839,0.0008088602,0.0002632132,0.0005581388,0.0273612,0.0003085644,0.0005788745,0.002773577,0.00004062132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798675,0.006889213,0.006318371,0.001212511,0.0001060902,0.0000884713,0.002838258,0.00009309421,0.002586477],"genre_scores_gemma":[0.9925943,0.001965143,0.001971299,0.0001463882,0.00008528849,0.00009690386,0.001702742,0.00001799581,0.00141991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07906283,"threshold_uncertainty_score":0.1572052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007379755211068263,"score_gpt":0.2278009746049671,"score_spread":0.2204212193938989,"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."}}