{"id":"W3041366631","doi":"10.1101/2020.07.09.195958","title":"Alpha and theta oscillations contribute to attribute regulation in dietary decision making under self-control","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Alpha (finance); Control (management); Psychology; Relevance (law); Cognition; Electroencephalography; Cognitive psychology; Value (mathematics); Neuroscience; Audiology; Developmental psychology; Computer science; Mathematics; Medicine; Political science; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003538231,0.0001493597,0.000126447,0.0001648594,0.00006906945,0.0004045948,0.00009304713,0.0001680646,0.0007939126],"category_scores_gemma":[0.002271711,0.0001636706,0.000169074,0.0001215596,0.0001820278,0.0002402211,0.0002063548,0.0002188474,0.00007343901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207683,"about_ca_system_score_gemma":0.00008798479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006953968,"about_ca_topic_score_gemma":0.0006840462,"domain_scores_codex":[0.9999273,0.00002209629,0.000004105694,0.00002516166,0.00001074049,0.00001068817],"domain_scores_gemma":[0.9994251,0.0003130486,0.0001282287,0.00005698408,0.00003878882,0.00003784738],"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":[0.002344884,0.0004664548,0.276779,0.0002351554,0.0003451216,0.0002245185,0.002102071,0.02871756,0.5889762,0.005107284,0.0005914761,0.09411034],"study_design_scores_gemma":[0.00006496168,0.0002886683,0.8788738,0.00001898027,0.0000688922,0.0001144851,0.0002245242,0.100025,0.01259201,0.007303553,0.0003959728,0.00002923211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922388,0.0000614435,0.006776612,0.0000424362,0.000006351026,0.000009354048,0.00006269792,0.00002470313,0.0007775691],"genre_scores_gemma":[0.9989079,0.00001989791,0.0008948013,0.000005647708,0.000002850944,0.000005179925,0.00002530196,0.000004954012,0.0001333173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007939126,"threshold_uncertainty_score":0.002655864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07153918189123021,"score_gpt":0.3139365400214388,"score_spread":0.2423973581302086,"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."}}