{"id":"W4320487307","doi":"10.24095/hpcdp.43.2.03f","title":"Utilisation des arbres décisionnels dans la recherche en surveillance de la santé de la population : application aux données d’enquête sur la santé mentale des jeunes de l’étude COMPASS","year":2023,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Waterloo","funders":"","keywords":"Humanities; Political science; 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":[0.04913197,0.001486787,0.002392442,0.003944924,0.001517066,0.005775108,0.001970855,0.001702011,0.01112912],"category_scores_gemma":[0.1333528,0.0009221608,0.003481285,0.004642862,0.001301925,0.002591758,0.002783424,0.003549522,0.00274521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002674644,"about_ca_system_score_gemma":0.006986149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04332253,"about_ca_topic_score_gemma":0.04204087,"domain_scores_codex":[0.9401968,0.04742202,0.002806728,0.004067181,0.004922275,0.0005850097],"domain_scores_gemma":[0.8230757,0.1483525,0.005336058,0.007380099,0.01494951,0.000906199],"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":[0.001394037,0.0003831969,0.05771306,0.004543608,0.002081267,0.0002731416,0.005385735,0.05664005,0.00449818,0.05728868,0.02020632,0.7895927],"study_design_scores_gemma":[0.0004843927,0.001094222,0.08231388,0.004922044,0.001541736,0.0006536867,0.00594605,0.6190491,0.01345088,0.1179761,0.1518741,0.0006938152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0253085,0.003883638,0.9546788,0.002979183,0.0005061388,0.00105036,0.003456334,0.001867492,0.006269608],"genre_scores_gemma":[0.1444706,0.001973638,0.841479,0.0008543533,0.0002838525,0.002431664,0.002822047,0.0004345218,0.005250295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04913197,"threshold_uncertainty_score":0.2598378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036524483776503,"score_gpt":0.4496800731086811,"score_spread":0.3460276247310308,"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."}}