{"id":"W2596763692","doi":"10.24095/hpcdp.35.1.01f","title":"Éditorial - Mobiliser les données probantes pour une meilleure action : de Maladies chroniques et blessures au Canada à Promotion de la santé et prévention des maladies chroniques","year":2015,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04101999,0.001986534,0.003221305,0.007331994,0.005277027,0.01310776,0.004746042,0.01821623,0.01347455],"category_scores_gemma":[0.1657598,0.001247564,0.003644851,0.004315509,0.005898482,0.004718053,0.002740302,0.0184643,0.003798203],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.013235,"about_ca_system_score_gemma":0.04486129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09019243,"about_ca_topic_score_gemma":0.1278224,"domain_scores_codex":[0.9753532,0.006422028,0.004326498,0.00197133,0.01052094,0.001406085],"domain_scores_gemma":[0.7759606,0.1198423,0.01015827,0.003562647,0.08118617,0.009290025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005678134,0.00002178935,0.0001436252,0.001535383,0.00007862616,0.00005529536,0.0002254376,0.00001822745,0.00004545714,0.0005169024,0.9889876,0.008314895],"study_design_scores_gemma":[0.0001277431,0.00004375477,0.001302026,0.009941407,0.0003846153,0.0001656301,0.0007496753,0.0001159446,0.0001379546,0.001060009,0.9859238,0.00004740629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001905359,0.03086349,0.0001836829,0.2464342,0.7204248,0.0001040056,0.0003146346,0.00004778193,0.001436858],"genre_scores_gemma":[0.00445392,0.04161317,0.0008376393,0.2099621,0.7290893,0.0002741684,0.0003329183,0.0001190084,0.0133179],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.986765,"threshold_uncertainty_score":0.2169371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390029179353567,"score_gpt":0.4858597786818892,"score_spread":0.3468568607465325,"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."}}