{"id":"W4285451933","doi":"10.2196/preprints.30907","title":"Screening Depressive Symptoms and Incident Major Depressive Disorder Among Chinese Community Residents Using a Mobile App–Based Integrated Mental Health Care Model: Cohort Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Mental health; Major depressive disorder; Depression (economics); Patient Health Questionnaire; Psychiatry; Cohort; Anxiety; Telepsychiatry; Public health; Health care; Depressive symptoms; Telemedicine; Internal medicine; Nursing; Mood","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009610233,0.0006783488,0.0004005964,0.0006297943,0.001370784,0.0007741488,0.0006204951,0.0005954768,0.001462367],"category_scores_gemma":[0.001331015,0.000773589,0.001429484,0.00104092,0.0002825481,0.0006588067,0.0006990856,0.00090027,0.0003349204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278182,"about_ca_system_score_gemma":0.001755492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.10384,"about_ca_topic_score_gemma":0.1064763,"domain_scores_codex":[0.9995871,0.00006362371,0.00004246409,0.0001304873,0.00006767053,0.0001086507],"domain_scores_gemma":[0.9994904,0.00003490375,0.0001001809,0.00008773129,0.0001221987,0.0001645161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002752723,0.0002750797,0.9965815,0.00003101282,0.0001784001,0.00009604578,0.0003330829,0.00003265722,0.0001427316,0.00001883178,0.0005509584,0.001484369],"study_design_scores_gemma":[0.0001360631,0.0005298756,0.997113,0.00002682956,0.0002938783,0.0001103557,0.0007613638,0.0005626815,0.0000700974,0.00002605864,0.0003517534,0.00001805117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989416,0.00005587411,0.00006329809,0.00004501929,0.000009618767,0.00009628977,0.0006448255,0.000002517568,0.00014098],"genre_scores_gemma":[0.9975595,0.0001364765,0.0002146907,0.000122072,0.00001659656,0.000220827,0.001279589,0.000001986028,0.0004480732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10384,"threshold_uncertainty_score":0.2064711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716793541505743,"score_gpt":0.3888275203185556,"score_spread":0.3616595849034982,"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."}}