{"id":"W3133928522","doi":"10.3390/e23030304","title":"Increased Neural Efficiency in Visual Word Recognition: Evidence from Alterations in Event-Related Potentials and Multiscale Entropy","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"N400; Electroencephalography; Event-related potential; Speech recognition; Computer science; Context (archaeology); Task (project management); Information processing; Lexical decision task; Pattern recognition (psychology); Artificial intelligence; Psychology; Cognitive psychology; Neuroscience; Cognition; Biology","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":[0.0003649634,0.0002589592,0.0001936466,0.0004447707,0.00009397064,0.0004325226,0.0001875981,0.000346061,0.001519353],"category_scores_gemma":[0.002936716,0.0001991527,0.0001043595,0.0002597153,0.0004640841,0.0003659706,0.0004505498,0.0003222153,0.0003134562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469689,"about_ca_system_score_gemma":0.00009047913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027856,"about_ca_topic_score_gemma":0.001456723,"domain_scores_codex":[0.9997014,0.00005217805,0.00002979186,0.00009271039,0.00009459693,0.00002927929],"domain_scores_gemma":[0.9988166,0.0003504349,0.0004629673,0.0001716207,0.00008919192,0.0001091911],"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":[0.00138882,0.0002319079,0.04747569,0.0001390501,0.00009750487,0.0002746188,0.000476667,0.0002046201,0.9211456,0.00009098565,0.0001628478,0.02831165],"study_design_scores_gemma":[0.00001410181,0.0002770379,0.98624,0.00000349583,0.00001173675,0.000294411,0.00005727739,0.0003020375,0.01248579,0.0001774962,0.0001281166,0.000008586395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982926,0.0001169432,0.0009484533,0.0000238175,0.000003949144,0.00001394109,0.0001085019,0.00001561403,0.0004760882],"genre_scores_gemma":[0.9987607,0.00005863414,0.000596276,0.00002098061,0.00000393057,0.00001558388,0.0001298909,0.000009933114,0.0004040562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001519353,"threshold_uncertainty_score":0.005082726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797847776356511,"score_gpt":0.2946298073783371,"score_spread":0.266651329614772,"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."}}