{"id":"W3096426565","doi":"10.1101/2020.10.29.361469","title":"Value Shapes Abstraction During Learning","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Exploratory Research for Advanced Technology; Royal Society; Agencia Nacional de Investigación y Desarrollo; Agenția Națională pentru Cercetare și Dezvoltare; Wellcome Trust; CHIST-ERA; Japan Agency for Medical Research and Development","keywords":"Computer science; Abstraction; Valuation (finance); Ventromedial prefrontal cortex; Artificial intelligence; Reinforcement learning; Machine learning; Cognitive psychology; Prefrontal cortex; Psychology; Cognition; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008041649,0.0002127019,0.0002072376,0.0001704993,0.0001678748,0.001098846,0.0003909069,0.0004031056,0.002927031],"category_scores_gemma":[0.005515164,0.0002150199,0.0002557761,0.0001309224,0.0008885128,0.001342618,0.000761077,0.0009967487,0.0002343496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405265,"about_ca_system_score_gemma":0.0002448257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003140817,"about_ca_topic_score_gemma":0.0002729193,"domain_scores_codex":[0.9995864,0.0001184033,0.00002028607,0.0001060158,0.000117357,0.00005153601],"domain_scores_gemma":[0.9983585,0.0006646975,0.0003069825,0.0003530066,0.0001317178,0.000185012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001585452,0.0003072413,0.02258385,0.000439566,0.0002248277,0.0006018181,0.00181175,0.03797068,0.6573365,0.1352924,0.001918516,0.1399274],"study_design_scores_gemma":[0.0001612105,0.001149954,0.08574343,0.0000642144,0.0001274632,0.0007374532,0.0004869376,0.2993366,0.1608401,0.4443301,0.006926752,0.00009567744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8983237,0.0001473008,0.09137117,0.0005139764,0.00005716554,0.00003383421,0.000100433,0.0002158349,0.00923661],"genre_scores_gemma":[0.9936347,0.00002547923,0.005771544,0.00002989812,0.000005618097,0.000006950576,0.00002798554,0.00001695052,0.0004808664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002927031,"threshold_uncertainty_score":0.009791911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07391534952114644,"score_gpt":0.2988120583592543,"score_spread":0.2248967088381079,"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."}}