{"id":"W4402901095","doi":"10.1007/s42113-024-00217-5","title":"Reclaiming AI as a Theoretical Tool for Cognitive Science","year":2024,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Simons Institute for the Theory of Computing, University of California Berkeley; Natural Sciences and Engineering Research Council of Canada; Koninklijke Nederlandse Akademie van Wetenschappen; Lorentz Center; Netherlands Institute for Advanced Study in the Humanities and Social Sciences","keywords":"Cognitive science; Cognition; Psychology; 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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001519889,0.0002674457,0.0002392303,0.000368287,0.0005546501,0.001194314,0.001151329,0.00008777003,0.00009831374],"category_scores_gemma":[0.001071182,0.0002576248,0.0001933562,0.001278553,0.001056865,0.0009591837,0.000619319,0.000293309,0.0001770549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002317942,"about_ca_system_score_gemma":0.00115811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004336356,"about_ca_topic_score_gemma":5.651843e-7,"domain_scores_codex":[0.9967474,0.0001012781,0.0004288451,0.001232571,0.0009167614,0.0005731045],"domain_scores_gemma":[0.9949942,0.003660383,0.00005521404,0.0003551588,0.0007356123,0.0001994452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001032168,0.0001503849,0.0001626832,0.00002072254,0.00001009653,0.00005918808,0.0006175062,0.0006154603,0.0003003521,0.7700093,0.0004606145,0.2275834],"study_design_scores_gemma":[0.0003966716,0.0002889813,0.008206874,0.00009280976,0.00003359085,0.0002082667,0.00003563445,0.6272821,0.0005559286,0.3616866,0.0008143471,0.0003982524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1041034,0.0001125425,0.8859581,0.006762275,0.001140731,0.0009646161,0.00003891151,0.0005477767,0.0003716458],"genre_scores_gemma":[0.8539098,5.060264e-7,0.1434193,0.002000715,0.0002010962,0.0003087019,0.00002724476,0.00002281693,0.0001098573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7498063,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187341066985489,"score_gpt":0.3505455981938253,"score_spread":0.3286721875239704,"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."}}