{"id":"W2794561166","doi":"10.1016/j.eurpsy.2018.03.005","title":"Grey matter or social matters? Causal attributions in the era of biological psychiatry","year":2018,"lang":"en","type":"editorial","venue":"European Psychiatry","topic":"Mental Health and Psychiatry","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Attribution; Content (measure theory); Action (physics); Psychology; Social psychology; Mathematics","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":["insufficient_payload"],"category_scores_codex":[0.001368683,0.0006582755,0.0007191559,0.0001977894,0.0009597837,0.000238227,0.001345881,0.0004441235,0.010501],"category_scores_gemma":[0.00003924437,0.0004153278,0.0003979909,0.0001813414,0.0008078213,0.0001392532,0.0001594738,0.002219641,0.003206892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005981486,"about_ca_system_score_gemma":0.0006153988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002749671,"about_ca_topic_score_gemma":0.003956212,"domain_scores_codex":[0.9949973,0.00126694,0.001385567,0.0007683518,0.000745208,0.0008366323],"domain_scores_gemma":[0.9979684,0.0002590816,0.0007267276,0.0007324934,0.0001736801,0.0001395702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004160532,0.0005409616,0.002669673,0.0005149072,0.00006249873,0.000007691032,0.008487547,4.551881e-8,1.714108e-7,0.007978471,0.9792247,0.00009725636],"study_design_scores_gemma":[0.001107426,0.0005988275,0.004270812,0.0006814345,0.00007989696,0.000008455151,0.005258976,3.173201e-7,6.688423e-8,0.001470862,0.9859939,0.0005290315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.006746979,0.001159949,0.000005006481,0.01711045,0.9113337,0.0006465581,0.002654372,0.0000850845,0.06025787],"genre_scores_gemma":[0.006794274,0.00006921353,0.000259938,0.011734,0.9756747,0.00004181942,0.001448424,0.0001439295,0.00383373],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06434094,"threshold_uncertainty_score":0.9998298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353854067302516,"score_gpt":0.3028649316349811,"score_spread":0.2593263909619559,"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."}}