{"id":"W4360923429","doi":"10.2196/44322","title":"Predicting Undesired Treatment Outcomes With Machine Learning in Mental Health Care: Multisite Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine learning; Mental health; Health care; Artificial intelligence; Predictive modelling; Outcome (game theory); Mental health care; Computer science; Medicine; Data mining; Psychiatry; Mathematics","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":[0.02225922,0.0005966548,0.0006429336,0.0009146564,0.0005738088,0.001054541,0.00118787,0.001013534,0.0007991521],"category_scores_gemma":[0.05145902,0.0003723584,0.001446594,0.0009184845,0.0009557696,0.001286903,0.001862532,0.001310968,0.0002016246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221844,"about_ca_system_score_gemma":0.001411443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007980517,"about_ca_topic_score_gemma":0.009168704,"domain_scores_codex":[0.9841383,0.01305909,0.000590453,0.001145134,0.0007697776,0.0002972591],"domain_scores_gemma":[0.9362255,0.03940644,0.007693006,0.01195985,0.003699365,0.001015744],"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":[0.001790158,0.002878772,0.9510035,0.00009592687,0.001324821,0.00010272,0.001041904,0.01599913,0.0006053036,0.0002477307,0.0004903862,0.02441963],"study_design_scores_gemma":[0.0006275693,0.006118841,0.8246752,0.0001174004,0.0008678291,0.0004678027,0.001717527,0.1585509,0.003502423,0.001866931,0.001377783,0.0001096341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961714,0.00005449455,0.003293302,0.00005359186,0.000006894241,0.000133259,0.0001346627,0.00001114325,0.0001413438],"genre_scores_gemma":[0.9959692,0.00003042932,0.003357716,0.00004100724,0.00001261818,0.0001734973,0.0003251201,0.000007781171,0.0000826386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02225922,"threshold_uncertainty_score":0.1177194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485807526733238,"score_gpt":0.4274013693873362,"score_spread":0.3825432941200039,"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."}}