{"id":"W4205503877","doi":"10.24095/hpcdp.42.1.04","title":"A machine learning approach to predict e-cigarette use and dependence among Ontario youth","year":2022,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research","keywords":"Identification (biology); Population; Public health; Support vector machine; Longitudinal data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002480434,0.0007216033,0.0005251147,0.001352014,0.0007274034,0.0006384027,0.001008919,0.0005482443,0.001305223],"category_scores_gemma":[0.005984096,0.0002946112,0.0009326036,0.0008192835,0.0003322024,0.0003324363,0.0004724422,0.0005834762,0.000274412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003827448,"about_ca_system_score_gemma":0.005544853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3994973,"about_ca_topic_score_gemma":0.3770002,"domain_scores_codex":[0.9994661,0.000176454,0.0000396447,0.0001285927,0.0001014525,0.00008777628],"domain_scores_gemma":[0.9982317,0.000815044,0.0002395807,0.00007767446,0.000543122,0.00009299058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004505077,0.0003900996,0.5840838,0.0001540676,0.0005079659,0.0001838994,0.0003147064,0.2278546,0.001399068,0.00125505,0.003574083,0.1798321],"study_design_scores_gemma":[0.00005725098,0.0001497201,0.07891413,0.00004184362,0.00008026636,0.00005734009,0.00009899744,0.9174491,0.0005047714,0.001571667,0.001053258,0.00002159083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8517416,0.0009080924,0.1383072,0.00109753,0.00005730616,0.0006439342,0.003405168,0.00088954,0.002949722],"genre_scores_gemma":[0.9485637,0.0001872354,0.0477475,0.0001048259,0.00003504063,0.0002417861,0.001920141,0.0000205527,0.001179185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6005027,"threshold_uncertainty_score":0.794344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430369686745317,"score_gpt":0.290393937007263,"score_spread":0.2460902401398098,"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."}}