{"id":"W4377825943","doi":"10.36227/techrxiv.23061116","title":"Analysis of Automated Clinical Depression Diagnosis in a Chinese Corpus","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Depression (economics); Rating scale; Psychology; Montgomery–Åsberg Depression Rating Scale; Major depressive episode; Natural language processing; Clinical psychology; Artificial intelligence; Psychiatry; Major depressive disorder; Computer science; Developmental psychology; Cognition","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":[0.001845993,0.0007185517,0.0004460127,0.002787166,0.0008088748,0.0006375463,0.0007971176,0.0004691039,0.003144481],"category_scores_gemma":[0.006598005,0.0002044467,0.0003295496,0.002002674,0.0006614241,0.0004907537,0.001018231,0.0004857312,0.001616803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437046,"about_ca_system_score_gemma":0.002444613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0263948,"about_ca_topic_score_gemma":0.02893514,"domain_scores_codex":[0.9986805,0.0003553399,0.0001754617,0.0003741407,0.0002808028,0.0001336581],"domain_scores_gemma":[0.995675,0.002234956,0.0002171848,0.0004640901,0.001238879,0.0001697348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001548574,0.0006363345,0.08794621,0.003631218,0.0002003461,0.007561601,0.007866957,0.006004223,0.1271026,0.00375314,0.1371989,0.6165499],"study_design_scores_gemma":[0.0004421213,0.0005309889,0.6778114,0.0003674988,0.0004146146,0.00382175,0.007250978,0.09197576,0.07101122,0.002154605,0.1439599,0.0002592383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035811,0.001781365,0.01919487,0.001003541,0.0005057749,0.001119212,0.06283318,0.00162603,0.00835494],"genre_scores_gemma":[0.7698558,0.0006962097,0.04272599,0.0002534584,0.000228778,0.001574944,0.1759771,0.0002162939,0.008471474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0263948,"threshold_uncertainty_score":0.05248237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140214572159043,"score_gpt":0.5274534608431618,"score_spread":0.3872388886841188,"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."}}