{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003178163,0.0002526915,0.00034249,0.001496902,0.0005894483,0.00006492472,0.0006282311,0.0002689685,0.004747123],"category_scores_gemma":[0.0001154411,0.0002467787,0.00009765824,0.003021001,0.0002672507,0.0001376067,0.0002000107,0.001874641,0.002048661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609485,"about_ca_system_score_gemma":0.0004056071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007929398,"about_ca_topic_score_gemma":0.005511321,"domain_scores_codex":[0.9944625,0.001550767,0.0007377805,0.000818153,0.0008339719,0.001596858],"domain_scores_gemma":[0.9982737,0.0002341019,0.0001454616,0.000796332,0.0001579539,0.0003924949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008543442,0.001012175,0.88823,0.0001657537,0.00004321637,0.00003610287,0.002595498,0.000007965366,0.0001838651,0.01127033,0.04481688,0.05078391],"study_design_scores_gemma":[0.0156302,0.005937029,0.2789834,0.0003071984,0.00005072291,0.0002891858,0.01415151,0.008187661,0.000141696,0.02389138,0.650587,0.001843059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772035,0.007817216,0.0003532969,0.004698704,0.007915109,0.00102191,0.000008766908,0.0001566502,0.1008249],"genre_scores_gemma":[0.9654242,0.0003498787,0.01461642,0.001150177,0.005625678,0.0001396346,0.00002029125,0.0001395095,0.01253422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6092466,"threshold_uncertainty_score":0.9999985,"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."}}