{"id":"W1941684160","doi":"","title":"Interactions médicamenteuses et risque de torsades de pointes","year":2005,"lang":"fr","type":"article","venue":"","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Gynecology; Quinidine; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001313528,0.0002820497,0.0005441782,0.0007149797,0.0007121008,0.001430779,0.0004106267,0.0007061983,0.007628603],"category_scores_gemma":[0.007944125,0.0001521187,0.0005655931,0.001094469,0.0007594574,0.000358958,0.0004533065,0.001122505,0.0004702198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004693895,"about_ca_system_score_gemma":0.005514651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1583762,"about_ca_topic_score_gemma":0.1892425,"domain_scores_codex":[0.998165,0.0003670263,0.0001530742,0.000166648,0.0009579133,0.0001904846],"domain_scores_gemma":[0.9919126,0.002335459,0.003751574,0.0001427545,0.0013696,0.0004879734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002898332,0.0002008644,0.8982957,0.002992546,0.001127488,0.0006437728,0.0006960478,0.000658226,0.002032562,0.001909274,0.006976442,0.08156872],"study_design_scores_gemma":[0.0000883211,0.0003942995,0.9815512,0.0005869805,0.0005427724,0.001155059,0.0002882744,0.0002460982,0.0007023192,0.000528584,0.01388523,0.00003085313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319247,0.178229,0.002391534,0.02475602,0.0004511857,0.000375949,0.009646725,0.000107903,0.05211685],"genre_scores_gemma":[0.9692202,0.02233474,0.0009401356,0.001496622,0.0003394878,0.00006504727,0.001051464,0.000009448067,0.004543072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1583762,"threshold_uncertainty_score":0.3149087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117145579800901,"score_gpt":0.3169690128496386,"score_spread":0.3052544548695485,"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."}}