{"id":"W4313242404","doi":"10.2196/42420","title":"Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mental Health via Writing","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hokkaido University; Keio University; Kanazawa University","keywords":"Mental health; Logistic regression; Random forest; Statistics; Demographics; Computer science; Psychology; Artificial intelligence; Machine learning; Mathematics; Demography; Psychiatry; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004406152,0.000793568,0.0008409327,0.002715063,0.0004044986,0.0008864977,0.0009533632,0.001004754,0.001263064],"category_scores_gemma":[0.008779678,0.0003133821,0.00128253,0.001223881,0.0002763373,0.0007238021,0.0005545169,0.001248306,0.0003977584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007684573,"about_ca_system_score_gemma":0.0009939995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106612,"about_ca_topic_score_gemma":0.007687989,"domain_scores_codex":[0.9985685,0.0007887778,0.00009308941,0.0002989576,0.0001341768,0.0001165122],"domain_scores_gemma":[0.9948992,0.003701587,0.000497955,0.0001733063,0.0005149702,0.0002129525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003108942,0.001039651,0.7221098,0.000101076,0.0005713567,0.0001133906,0.0001534509,0.1932549,0.0004346369,0.0004273695,0.001963919,0.07951961],"study_design_scores_gemma":[0.00001287824,0.0001320857,0.0404115,0.00002093853,0.00004786947,0.00002305,0.0000714456,0.9584334,0.0001941698,0.0004667577,0.0001724904,0.00001342087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128745,0.0003915404,0.0823682,0.001178309,0.00008195863,0.000240354,0.001270567,0.0004704865,0.001124155],"genre_scores_gemma":[0.9844614,0.00009473071,0.01389416,0.00008512955,0.00006044383,0.0001113065,0.000838063,0.000008665658,0.0004462352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01106612,"threshold_uncertainty_score":0.02330226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08069304746853954,"score_gpt":0.4254248372285154,"score_spread":0.3447317897599759,"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."}}