{"id":"W4221080810","doi":"10.3389/fncir.2022.630621","title":"Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fonds de Recherche du Québec - Santé; Cardiff University; Fonds de recherche du Québec – Nature et technologies; UK Research and Innovation","keywords":"Magnetoencephalography; Schizophrenia (object-oriented programming); Neuroscience; Psychology; Resting state fMRI; Neurocognitive; Similarity (geometry); Population; Cognition; Psychosis; Brain activity and meditation; Cognitive psychology; Medicine; Artificial intelligence; Electroencephalography; Psychiatry; Computer science","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":[0.0004129081,0.000337212,0.0002998238,0.001164773,0.0001187643,0.0002856824,0.0001895854,0.0002869189,0.0003236135],"category_scores_gemma":[0.0005921611,0.0001383624,0.0001948691,0.0003596242,0.0005553439,0.0004856669,0.0003407852,0.0003030133,0.00003874599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708843,"about_ca_system_score_gemma":0.0001677038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009208802,"about_ca_topic_score_gemma":0.001293791,"domain_scores_codex":[0.9999287,0.0000200845,0.000008050632,0.00001927173,0.00001326431,0.00001063949],"domain_scores_gemma":[0.9998024,0.00004952147,0.00008294677,0.00002282531,0.0000156925,0.00002656873],"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":[0.002086489,0.0003094125,0.306473,0.0007015989,0.0005841154,0.003823421,0.002058308,0.002990271,0.4483826,0.003281065,0.0009319159,0.2283778],"study_design_scores_gemma":[0.00002378693,0.0004391491,0.977968,0.00007406557,0.0001091386,0.002356639,0.0003782655,0.005728805,0.006997865,0.004655035,0.001232186,0.00003703899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812137,0.00887187,0.008449999,0.0005921585,0.00001743432,0.00001825015,0.0001574711,0.000063993,0.0006151933],"genre_scores_gemma":[0.9938387,0.002867748,0.002988587,0.0000574529,0.00005035289,0.000006753964,0.00009004119,0.00000705444,0.00009320094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001164773,"threshold_uncertainty_score":0.002183735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150830528305457,"score_gpt":0.2354656243220264,"score_spread":0.2139573190389719,"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."}}