{"id":"W4400014584","doi":"10.3389/fpsyg.2024.1362658","title":"Naturalizing relevance realization: why agency and cognition are fundamentally not computational","year":2024,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"John Templeton Foundation","keywords":"Relevance (law); Cognitive science; Constructive; Embodied cognition; Consciousness; Process (computing); Epistemology; Agency (philosophy); Cognition; Computer science; Syntax; Realization (probability); Organism; Semantics (computer science); Philosophy of mind; Action (physics); Psychology; Artificial intelligence; Metaphysics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125942,0.0001104039,0.0001213831,0.00023302,0.00009679682,0.00006201176,0.00008399969,0.00009726259,0.00003731543],"category_scores_gemma":[0.0001158227,0.0001167542,0.00002645607,0.0003424904,0.000148598,0.0002564486,0.00002237268,0.0002150951,0.00002756615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003396301,"about_ca_system_score_gemma":0.00001344946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001904639,"about_ca_topic_score_gemma":0.00000391704,"domain_scores_codex":[0.9988514,0.0001125799,0.0002051625,0.0004936143,0.0001441121,0.0001930909],"domain_scores_gemma":[0.9997057,0.0000915977,0.00005242625,0.00008577654,0.00002425621,0.00004026229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006005372,0.0002944394,0.00406985,0.0004161099,0.00004921795,0.0009371155,0.002587687,0.0002800787,0.01653909,0.2427557,0.2443276,0.4871425],"study_design_scores_gemma":[0.0006474701,0.0000735884,0.002920893,0.0002032671,0.00001532093,0.0001753197,0.0001357742,0.007929832,0.0006731941,0.9697665,0.01723821,0.0002206522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0539146,0.01291197,0.6315823,0.02238932,0.02819549,0.001424626,0.0003397839,0.001138419,0.2481035],"genre_scores_gemma":[0.9849135,0.001190292,0.005010986,0.008604426,0.0001068968,0.00002502343,0.00005049281,0.00001791273,0.00008047037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9309989,"threshold_uncertainty_score":0.47611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878973785663033,"score_gpt":0.3258180842017736,"score_spread":0.2870283463451432,"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."}}