{"id":"W2471756423","doi":"10.7202/1033301ar","title":"RÉFLEXES : un inventaire informatisé de la « littérature grise » du réseau de la santé et des services sociaux de la région de Montréal-Centre","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.07012986,0.00124466,0.001585829,0.03973836,0.006198104,0.02467612,0.003855021,0.002500154,0.0122004],"category_scores_gemma":[0.2002969,0.001357293,0.001067339,0.04450422,0.01518543,0.01581809,0.006878342,0.002955007,0.002354562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05673464,"about_ca_system_score_gemma":0.1592019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4306279,"about_ca_topic_score_gemma":0.4274206,"domain_scores_codex":[0.9420113,0.02458711,0.009998837,0.003701401,0.01843182,0.001269518],"domain_scores_gemma":[0.7320237,0.153627,0.024096,0.02051955,0.06570739,0.004026308],"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":[0.0001300133,0.00005757355,0.02177039,0.02193915,0.0003640899,0.0003907862,0.1115805,0.0009282681,0.001277482,0.3238566,0.1001563,0.4175488],"study_design_scores_gemma":[0.00003920981,0.00005942158,0.01759043,0.02785499,0.0003527724,0.0003696185,0.02134274,0.0004169063,0.000839759,0.0252197,0.9057782,0.0001363438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04060841,0.2748278,0.1373636,0.1967013,0.005621057,0.005087369,0.02957807,0.002534888,0.3076774],"genre_scores_gemma":[0.441635,0.2227716,0.2268498,0.02016068,0.002148975,0.006663511,0.01429136,0.001344916,0.06413402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753239,"threshold_uncertainty_score":0.8562427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017247733949118,"score_gpt":0.4504534992734451,"score_spread":0.4002810219339539,"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."}}