{"id":"W2078465431","doi":"10.1111/cogs.12100","title":"Intention, Emotion, and Action: A Neural Theory Based on Semantic Pointers","year":2013,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Action (physics); Cognitive science; Psychology; Control (management); Psychological Theory; Computational model; Cognitive psychology; Theory of mind; Computer science; Artificial intelligence; Cognition; Social psychology; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458793,0.0001072194,0.00007635009,0.0001801211,0.000401519,0.0001056202,0.0001879512,0.00002320178,0.0004123672],"category_scores_gemma":[0.0008619477,0.00008520827,0.00003290028,0.0003941878,0.001628181,0.0005125024,0.00005629429,0.0001258322,0.0004745829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002741373,"about_ca_system_score_gemma":0.00002895657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000592978,"about_ca_topic_score_gemma":5.079351e-7,"domain_scores_codex":[0.9986771,0.0001169193,0.0001157538,0.0005120916,0.0003227132,0.000255363],"domain_scores_gemma":[0.9993152,0.0002380035,0.00005421232,0.000105818,0.0001574741,0.0001293145],"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":[0.0003807405,0.000867824,0.009944394,0.00004915248,0.000008393602,0.00004702948,0.0009296638,0.00006443136,0.7710847,0.02252919,0.00196653,0.192128],"study_design_scores_gemma":[0.001518195,0.0008677195,0.8041764,0.0002683158,0.00001972253,0.0001690296,0.001553293,0.03131673,0.1290039,0.03059145,0.00008164327,0.0004335735],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836238,0.000005072231,0.004200486,0.004087235,0.0005768254,0.0002406919,0.000003827269,0.00005385128,0.007208182],"genre_scores_gemma":[0.9901142,0.000004346796,0.00004400078,0.009168728,0.00002935081,0.00002066722,9.161333e-7,0.000004628041,0.0006131839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7942321,"threshold_uncertainty_score":0.6099962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0961809229978434,"score_gpt":0.3085656981519832,"score_spread":0.2123847751541398,"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."}}