{"id":"W4313451833","doi":"10.1101/2022.12.20.22283712","title":"Aberrant hierarchical prediction errors are associated with transition to psychosis: A computational single-trial analysis of the mismatch negativity","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Krembil Foundation; Brain and Behavior Research Foundation; U.S. Department of Veterans Affairs; National Institutes of Health; National Science Foundation","keywords":"Mismatch negativity; Psychosis; Electroencephalography; Audiology; Schizophrenia (object-oriented programming); Psychology; Biomarker; Oddball paradigm; Event-related potential; Neuroscience; Medicine; Psychiatry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000707373,0.0002634886,0.0005690058,0.0001894356,0.0002136324,0.0005832596,0.0007483966,0.0004107718,0.001365351],"category_scores_gemma":[0.00392843,0.0003400323,0.0006940068,0.0001663929,0.0004823152,0.0004694998,0.0005042353,0.0008812391,0.00006537612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004951115,"about_ca_system_score_gemma":0.0005786124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004747493,"about_ca_topic_score_gemma":0.004305686,"domain_scores_codex":[0.9998751,0.00004458784,0.000008149575,0.0000372792,0.00001401872,0.00002088035],"domain_scores_gemma":[0.9986785,0.0009631001,0.000130172,0.0001076565,0.00005165233,0.00006894893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001480608,0.0003137195,0.03600427,0.0001515829,0.000675934,0.0004460527,0.0002184493,0.9285311,0.01431141,0.004726511,0.000488054,0.01265227],"study_design_scores_gemma":[0.00002272275,0.00006630938,0.005488303,0.000003008666,0.00002890942,0.00003671264,0.0000110887,0.9918798,0.0004935544,0.001931603,0.00002943887,0.000008573737],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752657,0.00005501188,0.02394979,0.0001484929,0.0000126475,0.00003378312,0.0001307925,0.00005335937,0.0003502374],"genre_scores_gemma":[0.9978789,0.00001644122,0.001879881,0.00001422492,0.000002031053,0.00002239807,0.00004671578,0.000006084244,0.0001333342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004747493,"threshold_uncertainty_score":0.009439707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05783592975623402,"score_gpt":0.2937272704059879,"score_spread":0.2358913406497539,"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."}}