{"id":"W2894641362","doi":"10.1176/appi.pn.2018.10a52","title":"Research Using Machine Learning in Psychiatry Expands Rapidly","year":2018,"lang":"en","type":"article","venue":"Psychiatric News","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychiatry; Mood; Medicine; Psychoeducation; Psychosocial; Psychology; Clinical psychology; Machine learning; Psychological intervention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0129811,0.001437514,0.002010547,0.008815017,0.001100011,0.007934499,0.002008792,0.006209582,0.07755668],"category_scores_gemma":[0.03755428,0.0008546046,0.001581934,0.005308636,0.004881464,0.01455897,0.004060676,0.01285615,0.05944581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003585086,"about_ca_system_score_gemma":0.003654323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002312203,"about_ca_topic_score_gemma":0.001783863,"domain_scores_codex":[0.9911512,0.002654853,0.0007899277,0.0009829702,0.004012209,0.000408873],"domain_scores_gemma":[0.9363838,0.04052718,0.001957813,0.004167754,0.01367396,0.003289418],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005167371,0.0000679163,0.0005218661,0.001037349,0.00006323749,0.00009682521,0.0001435375,0.0003511785,0.0005367707,0.04338751,0.6379393,0.315803],"study_design_scores_gemma":[0.00002129986,0.00004307674,0.0006512708,0.00107934,0.00001017699,0.0001255685,0.0001255065,0.0003564384,0.0001329828,0.02678698,0.9706365,0.00003076648],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001969557,0.258361,0.02568079,0.4775573,0.07717303,0.0002729885,0.002970867,0.002374098,0.1536403],"genre_scores_gemma":[0.03317278,0.4550571,0.05336215,0.1704173,0.1602212,0.0005958175,0.004668273,0.002683915,0.1198214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9870189,"threshold_uncertainty_score":0.2594529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521085533183821,"score_gpt":0.5009775337583802,"score_spread":0.348868980439998,"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."}}