{"id":"W4387243393","doi":"10.1101/2023.10.02.560256","title":"A neurocomputational account of the link between social perception and social action","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; University of Toronto; National Institute of Mental Health; Innovation, Science and Economic Development Canada","keywords":"Action (physics); Link (geometry); Perception; Psychology; Cognitive psychology; Social psychology; Cognitive science; Neuroscience; Computer science; Physics","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":[0.0004530369,0.0002964711,0.0001718122,0.0004507025,0.0003332413,0.001250318,0.0004452464,0.0005141069,0.003630651],"category_scores_gemma":[0.001401687,0.0001997762,0.0004378688,0.0002816198,0.001308211,0.001633206,0.0007474668,0.0006666895,0.0002868442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005952561,"about_ca_system_score_gemma":0.0003647402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373486,"about_ca_topic_score_gemma":0.001298309,"domain_scores_codex":[0.9998266,0.00005010819,0.000006202279,0.00007011644,0.00003240449,0.00001456293],"domain_scores_gemma":[0.9996428,0.000179957,0.00006120585,0.00005351916,0.00003391842,0.00002847963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000135991,0.0001788905,0.02087695,0.000244161,0.0003694949,0.0004154656,0.001426611,0.08196477,0.04485445,0.7473113,0.002472492,0.09974941],"study_design_scores_gemma":[0.00001655785,0.00008846823,0.03012323,0.00002015806,0.00005998255,0.0002753212,0.0001991781,0.2169351,0.002817699,0.7458276,0.003609585,0.00002709541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2190868,0.001088948,0.7094467,0.008920631,0.0001454942,0.0000548131,0.0003725182,0.0003125563,0.06057149],"genre_scores_gemma":[0.9570249,0.0003435746,0.03914045,0.0002563506,0.00005180067,0.00004997811,0.0001038524,0.00002400087,0.003004976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003630651,"threshold_uncertainty_score":0.0121457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195770964740447,"score_gpt":0.2916775176903865,"score_spread":0.1721004212163418,"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."}}