{"id":"W4220833196","doi":"10.1038/s41537-022-00239-7","title":"Does temporal irregularity drive prediction failure in schizophrenia? temporal modelling of ERPs","year":2022,"lang":"en","type":"article","venue":"Schizophrenia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; European Commission","keywords":"N100; Electroencephalography; Psychology; Schizophrenia (object-oriented programming); Event-related potential; Latency (audio); Audiology; Auditory event; Computer science; Speech recognition; Neuroscience; Cognition; Medicine","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":[0.0002966563,0.0001712553,0.0001206695,0.0002523291,0.00005782774,0.0002402811,0.0001037578,0.0001170502,0.0005453941],"category_scores_gemma":[0.002132502,0.0001286782,0.0001480058,0.0001780259,0.0001756985,0.0002671472,0.0001624022,0.0001864224,0.00005828404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378982,"about_ca_system_score_gemma":0.0001356269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022727,"about_ca_topic_score_gemma":0.001368869,"domain_scores_codex":[0.9999299,0.00001946269,0.00000591464,0.00001786239,0.00001591348,0.00001079148],"domain_scores_gemma":[0.9995802,0.0002322886,0.00009769081,0.00004425519,0.000025472,0.00002004471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001926295,0.0001714974,0.3521044,0.000186881,0.0001555061,0.001375861,0.001070681,0.07493997,0.4834904,0.003196187,0.0001964756,0.0811859],"study_design_scores_gemma":[0.00002427653,0.0003000702,0.7084592,0.00001021436,0.00005785269,0.000943255,0.0002531458,0.2701826,0.01696441,0.002555516,0.0002268118,0.00002260832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917054,0.00002339767,0.008002599,0.00001322757,7.767854e-7,0.000005239151,0.00003578176,0.000016014,0.0001973728],"genre_scores_gemma":[0.9992156,0.00001760702,0.0006777301,0.000001330081,6.240984e-7,0.000002549735,0.00003326412,0.000003001149,0.00004827744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002022727,"threshold_uncertainty_score":0.004021943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172423900359805,"score_gpt":0.2246581244264807,"score_spread":0.2029338854228827,"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."}}