{"id":"W3000728369","doi":"10.1038/s41467-019-13930-8","title":"Ventromedial prefrontal cortex compression during concept learning","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; Leverhulme Trust; National Institute of Child Health and Human Development; Wellcome Trust","keywords":"Ventromedial prefrontal cortex; Prefrontal cortex; Dimensionality reduction; Computer science; Curse of dimensionality; Artificial intelligence; Focus (optics); Cognitive psychology; Machine learning; Psychology; Neuroscience; Cognition; Physics","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":[0.00003086231,0.00009343367,0.0001034369,0.0000279692,0.0005259619,0.00004572239,0.000676362,0.0001189811,0.00004838838],"category_scores_gemma":[0.0005265797,0.00008791753,0.00005429051,0.0002193897,0.0001199537,0.0001478609,0.0004162212,0.001282871,0.00004623699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003020352,"about_ca_system_score_gemma":0.00001696561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000262116,"about_ca_topic_score_gemma":0.000007243642,"domain_scores_codex":[0.9991235,0.0001766218,0.0001452877,0.0002286497,0.0001807273,0.0001452464],"domain_scores_gemma":[0.9991162,0.0002236601,0.00009423673,0.0004390189,0.00002903969,0.00009785036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002534272,0.00003741111,0.0003127558,0.000004421895,0.000002403528,0.000002949742,0.000341298,0.0001132453,0.9954767,0.002603077,0.0003691003,0.0007113548],"study_design_scores_gemma":[0.003365811,0.0005510557,0.2816179,0.0001209438,0.00006739032,0.00008630819,0.000504272,0.2141152,0.2065009,0.000421405,0.2916338,0.001014981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799782,0.0007646216,0.0001567968,0.01317939,0.0006092963,0.0003676669,0.00003947956,0.0004451611,0.00445936],"genre_scores_gemma":[0.9980029,0.0001477096,0.0002284841,0.001240254,0.0001216231,0.00001195603,0.00005667655,0.00001463579,0.0001757951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7889757,"threshold_uncertainty_score":0.5573505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773928137251776,"score_gpt":0.2807500168248542,"score_spread":0.2530107354523364,"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."}}