{"id":"W2895610624","doi":"10.4414/bms.2017.06015","title":"Mdecine intensive: progrs et apports pour la sant de la population","year":2017,"lang":"fr","type":"article","venue":"Bulletin des Médecins Suisses","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01220203,0.0005421467,0.0005424752,0.001661456,0.00163685,0.004095288,0.001244356,0.003745367,0.01418713],"category_scores_gemma":[0.03718576,0.0002820451,0.0005729787,0.001309586,0.0014745,0.002845446,0.00430975,0.00791948,0.003718596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004717469,"about_ca_system_score_gemma":0.03139469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089152,"about_ca_topic_score_gemma":0.02858176,"domain_scores_codex":[0.9912995,0.004999894,0.0006432934,0.000359446,0.002032268,0.0006655481],"domain_scores_gemma":[0.9707822,0.008074023,0.001956021,0.0009019881,0.00902309,0.009262795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009269083,0.0004841005,0.008563092,0.002398786,0.00006282923,0.0004429604,0.002354743,0.0004259158,0.0007364163,0.04079928,0.3473379,0.5963014],"study_design_scores_gemma":[0.00004665499,0.0001480749,0.008761333,0.00586134,0.00003011072,0.0004173614,0.001485552,0.0001869278,0.0002933283,0.007811143,0.9749291,0.00002920274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007521662,0.09990127,0.005915754,0.7874022,0.007293051,0.0004044543,0.0004349894,0.0002350154,0.09089153],"genre_scores_gemma":[0.1949086,0.3837772,0.09571114,0.244209,0.0154612,0.00174318,0.001612126,0.0003397854,0.06223794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01418713,"threshold_uncertainty_score":0.06453133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1600510779909964,"score_gpt":0.5065714907083002,"score_spread":0.3465204127173038,"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."}}