{"id":"W4312112879","doi":"10.1038/s41593-022-01216-0","title":"The role of the lateral orbitofrontal cortex in creating cognitive maps","year":2022,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Institute on Drug Abuse; National Institutes of Health; Alexander von Humboldt-Stiftung; Deutsche Forschungsgemeinschaft; U.S. Department of Health and Human Services","keywords":"Orbitofrontal cortex; Devaluation; Cognitive map; Neuroscience; Inference; Cognition; Outcome (game theory); Reinforcement learning; Psychology; Cognitive psychology; Computer science; Artificial intelligence; Prefrontal cortex; Mathematics","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":[0.000364028,0.0001255231,0.0001147667,0.00005205948,0.001292213,0.00005339532,0.00110575,0.00004926739,0.00002449747],"category_scores_gemma":[0.001651005,0.0000751215,0.00006791091,0.0009742334,0.0003137511,0.0001596317,0.0006023023,0.00123858,0.000002280955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003193199,"about_ca_system_score_gemma":0.00006831071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000768496,"about_ca_topic_score_gemma":0.00001606431,"domain_scores_codex":[0.9977259,0.0004910705,0.0002167494,0.0004733111,0.0007429388,0.0003500555],"domain_scores_gemma":[0.9988737,0.0006191279,0.0001683839,0.0002748385,0.00001994787,0.00004404656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005533123,0.00004387989,0.001293123,0.00000175016,1.47155e-7,0.00002437041,0.0002428032,0.00003290137,0.9929912,0.004415249,0.00002028557,0.0008789291],"study_design_scores_gemma":[0.0002148908,0.0001518394,0.01500269,0.00001212792,0.000002790945,0.0001228532,0.0003288911,0.001568548,0.9779486,0.003152008,0.001396551,0.00009822801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937021,0.00008177873,0.000001466564,0.0003390451,0.001875093,0.0003484781,0.00005344311,0.00002391543,0.003574703],"genre_scores_gemma":[0.9963529,0.000008729552,0.000003446794,0.002930771,0.00002944268,0.00003620147,3.527492e-7,0.000009930827,0.0006282714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504265,"threshold_uncertainty_score":0.993879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915887129361499,"score_gpt":0.2774749549485379,"score_spread":0.2583160836549229,"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."}}