{"id":"W4280628075","doi":"10.2196/30907","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","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Key Research and Development Program of China; Sun Yat-sen University; National Natural Science Foundation of China","keywords":"Medicine; Major depressive disorder; Mental health; Psychiatry; Cohort; Depression (economics); Patient Health Questionnaire; Anxiety; Public health; Mood; Depressive symptoms; Internal medicine","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":[0.001243255,0.001015388,0.0005428448,0.0009019477,0.001617999,0.0009043124,0.0009179871,0.000673965,0.001351273],"category_scores_gemma":[0.001636945,0.0008200525,0.001517883,0.001147788,0.0003856165,0.0007531274,0.0008780374,0.001041661,0.0003330101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535852,"about_ca_system_score_gemma":0.001950756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1141974,"about_ca_topic_score_gemma":0.09687852,"domain_scores_codex":[0.9994373,0.00009447899,0.00004777221,0.0001845383,0.00009259092,0.0001433885],"domain_scores_gemma":[0.9992234,0.00005403354,0.0001561097,0.0001507756,0.0001798892,0.0002358542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003051107,0.0004080113,0.9969913,0.0000196988,0.0002120961,0.00009722857,0.0003205144,0.00005313509,0.0001269914,0.00001701061,0.0003222211,0.001126692],"study_design_scores_gemma":[0.0001354491,0.0006550588,0.9962347,0.00002009153,0.0003442711,0.0001267482,0.0008283136,0.001272777,0.00007430534,0.00003043921,0.0002565849,0.0000212113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992695,0.00003988789,0.00006580285,0.00002567183,0.000006109666,0.00008649538,0.0004110816,0.000002589617,0.00009291015],"genre_scores_gemma":[0.9981343,0.00009713204,0.0002117839,0.00006522612,0.00001317825,0.000184773,0.0009963799,0.000002050287,0.0002950506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141974,"threshold_uncertainty_score":0.2270653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05958656186637745,"score_gpt":0.4860572256367897,"score_spread":0.4264706637704122,"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."}}