{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006206656,0.0004580083,0.0006894846,0.0001546326,0.0005420126,0.0005311638,0.0003632164,0.0004338248,0.004441606],"category_scores_gemma":[0.0964889,0.0004500632,0.0002540174,0.0001111902,0.000827992,0.0003269035,0.0003347924,0.0008127895,0.0008543329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733151,"about_ca_system_score_gemma":0.0006010539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00725901,"about_ca_topic_score_gemma":0.0005325945,"domain_scores_codex":[0.9951539,0.00127804,0.001518321,0.0006760716,0.000568711,0.0008049343],"domain_scores_gemma":[0.9895622,0.006675971,0.00120898,0.001012398,0.001065697,0.0004748132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004667636,0.0009463044,0.5559775,0.0003652008,0.0001848916,0.001083479,0.0004323198,0.00003597578,0.0005108889,0.002442798,0.1427627,0.2947912],"study_design_scores_gemma":[0.002716033,0.0002245227,0.5570527,0.001137777,0.0004604089,0.0009082819,0.0009998489,0.0002002631,0.0002094757,0.001592146,0.4342224,0.0002761614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8239386,0.006382333,0.003752537,0.1392261,0.0021908,0.001335094,0.00006163315,0.0001939166,0.02291896],"genre_scores_gemma":[0.9471134,0.003858278,0.02527343,0.004278102,0.001897841,0.00005546383,0.0001794675,0.0001252386,0.01721877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.294515,"threshold_uncertainty_score":0.9999236,"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."}}