{"id":"W3033798243","doi":"10.2196/17857","title":"An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mental Health via Writing","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rasch model; Mental health; Convolutional neural network; Applied psychology; Psychology; Descriptive statistics; Clinical psychology; Medicine; Statistics; Artificial intelligence; Computer science; Psychiatry","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":[0.002705443,0.0004304055,0.0003032219,0.001053644,0.0002628596,0.0005574184,0.0004431331,0.0005449241,0.001384601],"category_scores_gemma":[0.0125972,0.0002407411,0.0006401123,0.0005071128,0.0002913456,0.0008742536,0.0005862148,0.0007054197,0.0004518672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004893079,"about_ca_system_score_gemma":0.0004078862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003354357,"about_ca_topic_score_gemma":0.005460047,"domain_scores_codex":[0.9988315,0.0005517977,0.00009509252,0.0001506489,0.0002702998,0.0001006422],"domain_scores_gemma":[0.9937557,0.003416431,0.0007621972,0.0002884359,0.001447842,0.0003293169],"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":[0.0003367422,0.003523215,0.882773,0.0003686512,0.0001767256,0.0003085238,0.004185863,0.001486501,0.001280432,0.0002761449,0.003302159,0.101982],"study_design_scores_gemma":[0.00008000012,0.003814688,0.9307611,0.0002110367,0.0002454062,0.0005740164,0.007788458,0.05047374,0.001819678,0.0004623634,0.003690175,0.00007933223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995883,0.00005225051,0.002459913,0.00006590242,0.000008387497,0.0003145116,0.0006296088,0.00005159231,0.0005348743],"genre_scores_gemma":[0.9913715,0.0001161688,0.006180046,0.00007880613,0.00001389966,0.000705091,0.0008875487,0.00001086335,0.0006360422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003354357,"threshold_uncertainty_score":0.01430792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2527521625510356,"score_gpt":0.4879471676171808,"score_spread":0.2351950050661452,"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."}}