{"id":"W2124215056","doi":"10.1002/hbm.22647","title":"Individual peak gamma frequency predicts switch rate in perceptual rivalry","year":2014,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Binocular rivalry; Neuroscience; Psychology; Alternation (linguistics); Visual cortex; Perception; Rivalry; Population; Visual perception; Electroencephalography; 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":[0.0004980374,0.0002199158,0.0002039941,0.0004153073,0.00006584467,0.0002841276,0.0001177319,0.0002469601,0.0009787444],"category_scores_gemma":[0.004024221,0.0001588937,0.0001368953,0.0001411876,0.0002288824,0.0002253669,0.0002717105,0.0002846916,0.0001460962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054953,"about_ca_system_score_gemma":0.00005924831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004883461,"about_ca_topic_score_gemma":0.0004513593,"domain_scores_codex":[0.9998989,0.00002202754,0.00001029266,0.00003152496,0.00002049896,0.00001672924],"domain_scores_gemma":[0.9984288,0.0009045813,0.0003433013,0.0001384828,0.00005204373,0.0001328513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001436141,0.0002350503,0.6512817,0.00003782999,0.000130405,0.0001995021,0.0002757557,0.003970478,0.3260787,0.0003790704,0.0001325837,0.01584275],"study_design_scores_gemma":[0.00000812513,0.0001308169,0.9899816,0.000001933447,0.00001236973,0.0002399362,0.00002082592,0.004430681,0.004772418,0.0003585027,0.00003673769,0.000006114325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987594,0.00002234596,0.0009231531,0.000008870107,0.000001652134,0.000003319492,0.00002988102,0.00001020129,0.0002411356],"genre_scores_gemma":[0.9996537,0.00001176469,0.0001953299,0.000004141264,0.000001515204,0.000002693641,0.00006263838,0.00000470639,0.00006339537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009787444,"threshold_uncertainty_score":0.003274202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0521652444596646,"score_gpt":0.2615426777293354,"score_spread":0.2093774332696708,"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."}}