{"id":"W4295338951","doi":"10.1101/2022.09.12.506984","title":"Epiphenomenal neural activity in the primate cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Yale University","keywords":"Neural activity; Neuroscience; Brain activity and meditation; Dissociation (chemistry); Neural ensemble; Prefrontal cortex; Cognition; Brain function; Primate; Sentence; Psychology; Neural correlates of consciousness; Computer science; Cognitive psychology; Artificial intelligence; Electroencephalography; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008785329,0.000490812,0.0004264681,0.0002588115,0.0003906434,0.0003529619,0.001214515,0.0001962565,0.0001344576],"category_scores_gemma":[0.0003366228,0.0004215071,0.0001711565,0.0008585079,0.0001455407,0.0002258347,0.0009720684,0.00186882,0.00003135196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598505,"about_ca_system_score_gemma":0.0002454518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006221821,"about_ca_topic_score_gemma":0.000003974637,"domain_scores_codex":[0.9962227,0.0007200192,0.0004099059,0.001272556,0.0007239975,0.0006508263],"domain_scores_gemma":[0.9978356,0.0002914168,0.0004138873,0.001281942,0.00005863519,0.0001185124],"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":[0.00006353568,0.0002348488,0.001989656,0.0001026657,0.000008715,0.0002012641,0.0000148887,0.0005019241,0.9951406,0.001637056,0.0000981938,0.000006702249],"study_design_scores_gemma":[0.00115444,0.0003055618,0.7537832,0.0001123293,0.00008921569,2.524379e-7,0.00001076152,0.03538448,0.1981557,0.00004918543,0.009075061,0.001879803],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99518,0.00006067516,0.0001003143,0.0009537574,0.002206396,0.0009610512,0.0002373786,0.0002316293,0.00006882814],"genre_scores_gemma":[0.9975145,0.00009153183,0.00007157295,0.001620508,0.0002470023,0.0003610146,2.203094e-7,0.00008317609,0.00001049772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7969849,"threshold_uncertainty_score":0.9998237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550927435936474,"score_gpt":0.2438540661717961,"score_spread":0.2183447918124313,"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."}}