{"id":"W4411142575","doi":"10.1523/eneuro.0041-25.2025","title":"Action Intentions Reactivate Representations of Task-Relevant Cognitive Cues","year":2025,"lang":"en","type":"article","venue":"eNeuro","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GRASP; Psychology; Object (grammar); Cognitive psychology; Cognition; Representation (politics); Lift (data mining); Mental representation; Action (physics); Task (project management); Communication; Cognitive science; Artificial intelligence; Computer science; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.00005814371,0.00007793416,0.0001002192,0.0001516049,0.0001007033,0.00003134032,0.0001401337,0.00002587419,0.00002266424],"category_scores_gemma":[0.001008672,0.00007187747,0.00006314637,0.0002985477,0.00009960103,0.0001753683,0.00008317496,0.0001299481,0.00001939569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001122802,"about_ca_system_score_gemma":0.00003014531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003115303,"about_ca_topic_score_gemma":0.0000133825,"domain_scores_codex":[0.9991469,0.000125348,0.0001898281,0.0002786787,0.0001441518,0.0001150715],"domain_scores_gemma":[0.9989446,0.0007130631,0.00008842307,0.0001631629,0.00006665951,0.00002409331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002639887,0.0001030141,0.0004496526,0.00001425051,0.000008751278,0.000005345601,0.0001847465,0.0000324615,0.9909773,0.002241345,0.001535062,0.004421626],"study_design_scores_gemma":[0.0001923699,0.00004880533,0.007761032,0.00008316443,0.00001658308,0.000006461834,0.0001909791,0.0003508058,0.9873208,0.001368712,0.00260259,0.0000576509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674464,0.00001482775,0.005823573,0.001087203,0.0007764961,0.0001618671,0.0000290317,0.00009457682,0.02456598],"genre_scores_gemma":[0.9965239,0.00003944569,0.00007493135,0.0005044043,0.00002633665,0.00001530739,0.000002893889,0.000006291361,0.002806533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02907741,"threshold_uncertainty_score":0.2931078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04757377287705399,"score_gpt":0.3481909746612222,"score_spread":0.3006172017841682,"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."}}