{"id":"W6939053261","doi":"10.60692/8sc0k-5d904","title":"White matter diffusion estimates in obsessive-compulsive disorder across 1,653 individuals: Machine learning findings from the ENIGMA OCD Working Group","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Centre for Addiction and Mental Health","funders":"","keywords":"Generalizability theory; White matter; Diffusion MRI; Receiver operating characteristic; Feature (linguistics); Fractional anisotropy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007526343,0.0005688482,0.0006282308,0.0004987223,0.0007425214,0.0006383334,0.0007731624,0.0003143637,0.0006606003],"category_scores_gemma":[0.00008381368,0.0004307419,0.0001929382,0.00139706,0.0001391961,0.0007807506,0.000505871,0.0007521953,0.008849087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850211,"about_ca_system_score_gemma":0.00001785886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004681056,"about_ca_topic_score_gemma":0.00003674382,"domain_scores_codex":[0.9961289,0.0004392426,0.001224522,0.0005666573,0.0006028134,0.001037921],"domain_scores_gemma":[0.9981025,0.0002714473,0.0007384424,0.0006831786,0.00008744688,0.0001169634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006566125,0.000007355473,0.7452173,0.00005109566,0.00008229423,0.00001488799,0.2526816,0.0009199585,9.358596e-7,0.00007490196,0.0002688862,0.0006151265],"study_design_scores_gemma":[0.002476074,0.00003663493,0.8655291,0.0003957519,0.00003229782,0.00001726934,0.1247622,0.005747262,0.000005174815,0.00001858128,0.0005505367,0.0004290242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912531,0.00005186422,0.002937184,0.0005867034,0.001345165,0.0009475201,0.0003280753,0.0005954612,0.001954885],"genre_scores_gemma":[0.9977801,0.000001307578,0.0001407076,0.0005067972,0.0001230054,0.0003004353,0.0007489347,0.000071922,0.0003267504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279194,"threshold_uncertainty_score":0.9998145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177371711936836,"score_gpt":0.2593822072261168,"score_spread":0.2376084901067484,"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."}}