{"id":"W2611644429","doi":"10.4212/cjhp.v70i2.1644","title":"Utilisation optimale des cabinets automatisés décentralisés : le point sur les risques de détournement des substances désignées","year":2017,"lang":"fr","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Gynecology; Humanities; Medicine; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002311001,0.0001974571,0.0002405186,0.000151027,0.006814105,0.0007023168,0.001083572,0.0001229227,0.001131543],"category_scores_gemma":[0.0007980136,0.0001694415,0.000170069,0.0001409962,0.00384702,0.003310405,0.00003191636,0.0006564892,0.00004440214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007768844,"about_ca_system_score_gemma":0.002565065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2372499,"about_ca_topic_score_gemma":0.2564106,"domain_scores_codex":[0.9979748,0.0003581824,0.0005258011,0.0001098353,0.000293507,0.0007378517],"domain_scores_gemma":[0.9977311,0.0000806717,0.000973562,0.0002047454,0.0005311023,0.0004788229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005654247,0.000143737,0.2074654,0.0001670728,0.0004646955,0.0002982334,0.2260288,0.002689112,0.00008017261,0.05838161,0.02597887,0.4782457],"study_design_scores_gemma":[0.003972286,0.0009516954,0.5135165,0.001840433,0.000567922,0.0002846959,0.1068851,0.00742899,0.007239826,0.08396246,0.2720101,0.001340031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172907,0.01536232,0.000321498,0.05779853,0.001421829,0.000195083,0.00001646922,0.00002550556,0.007568072],"genre_scores_gemma":[0.9949524,0.001922078,0.001020467,0.0001505473,0.0004310912,0.000004253047,0.000002201529,0.00001560149,0.00150138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4769057,"threshold_uncertainty_score":0.9997815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04802250577945347,"score_gpt":0.311570301286674,"score_spread":0.2635477955072205,"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."}}