{"id":"W2979659460","doi":"10.24095/hpcdp.39.10.02f","title":"Aperçu - Indicateurs des maladies chroniques au Canada, 2019 – Mise à jour des données et prise en compte de la santé mentale","year":2019,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.003284416,0.0005695533,0.0007143006,0.005572416,0.002792007,0.002595558,0.001367313,0.0004714314,0.004282159],"category_scores_gemma":[0.01320481,0.0004468824,0.001021917,0.01325268,0.0008327112,0.0008895717,0.001464955,0.001410302,0.0004477362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03407378,"about_ca_system_score_gemma":0.10621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961213,"about_ca_topic_score_gemma":0.9968406,"domain_scores_codex":[0.9966073,0.0003155645,0.0003746068,0.0004593268,0.001603336,0.0006398216],"domain_scores_gemma":[0.978135,0.001380597,0.001840536,0.0003899747,0.01675413,0.001499692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003299323,0.00002195884,0.8471982,0.002133924,0.0007213236,0.0001458587,0.006163162,0.0005883059,0.000482988,0.00238901,0.07985425,0.05997109],"study_design_scores_gemma":[0.00001420314,0.00002086642,0.9288151,0.001023572,0.0001904596,0.00008331419,0.004955383,0.0003749036,0.0003741191,0.0001880595,0.06389119,0.00006887242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3590836,0.03075322,0.003175022,0.01172143,0.0009324232,0.000372197,0.5652468,0.0005827228,0.02813268],"genre_scores_gemma":[0.8021334,0.02899276,0.005938162,0.003011493,0.0002523354,0.0006119871,0.1375332,0.0001974706,0.02132906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03407378,"threshold_uncertainty_score":0.2472238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609561913660702,"score_gpt":0.2978219753559104,"score_spread":0.2817263562193034,"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."}}