{"id":"W2518646618","doi":"10.24095/hpcdp.36.8.03","title":"Patterns of multiple health risk–behaviours in university students and their association with mental health: application of latent class analysis","year":2016,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; McMaster University; Regional Municipality of Niagara","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Latent class model; Mental health; Psychology; Psychological intervention; Binge drinking; Association (psychology); Gerontology; Clinical psychology; Medicine; Environmental health; Suicide prevention; Psychiatry; Poison control","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002205722,0.0001202561,0.0004295229,0.000289758,0.0002919482,0.000002681943,0.00009069755,0.00005810812,0.00003499868],"category_scores_gemma":[0.00004240016,0.00009499992,0.00003447479,0.0004425886,0.00002358276,0.00009544441,0.00005826605,0.0002540493,4.382459e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0077908,"about_ca_system_score_gemma":0.009953956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8051784,"about_ca_topic_score_gemma":0.9803414,"domain_scores_codex":[0.9960659,0.001860872,0.0007747195,0.0003245682,0.000445808,0.0005281332],"domain_scores_gemma":[0.9979134,0.0001935715,0.001063689,0.0001865509,0.00009466091,0.0005481666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001264317,0.0002569898,0.9669719,0.001292647,0.00003639833,4.09561e-7,0.0006693863,0.00002042716,0.000002316971,0.00003783668,0.000103194,0.03048208],"study_design_scores_gemma":[0.003218187,0.0003044904,0.9930297,0.001074206,0.00001320447,8.895458e-8,0.0009142865,0.001006165,0.000002409079,0.00002861898,0.0003372426,0.00007144508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819144,0.000405915,0.001756847,0.01302854,0.00005394296,0.002045285,0.0007826057,0.000009275928,0.00000316202],"genre_scores_gemma":[0.995738,0.003762476,0.00001637872,0.0001289265,0.00001204468,0.00005169967,0.0001597791,0.000009232288,0.0001214908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.175163,"threshold_uncertainty_score":0.9960181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053576800688068,"score_gpt":0.3825791172963894,"score_spread":0.3520433492895087,"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."}}