{"id":"W2914361598","doi":"10.3758/s13415-018-00687-8","title":"Hippocampal contributions to value-based learning: Converging evidence from fMRI and amnesia","year":2019,"lang":"en","type":"article","venue":"Cognitive Affective & Behavioral Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Mental Health; Clinical Science Research and Development; National Institutes of Health; University of British Columbia; Canadian Institutes of Health Research; Ohio State University; U.S. Department of Veterans Affairs","keywords":"Psychology; Hippocampus; Context (archaeology); Amnesia; Hippocampal formation; Neuroscience; Cognitive psychology; Neuropsychology; Episodic memory; Temporal lobe; Nucleus accumbens; Cognition; Epilepsy; Central nervous system; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004271267,0.0004283538,0.0004201372,0.0002288556,0.0007106464,0.0002677131,0.0004779449,0.0001080214,0.0001299834],"category_scores_gemma":[0.004555393,0.0004144555,0.0001182186,0.0010273,0.0005305534,0.0009342569,0.0003235629,0.0006400244,0.0003825685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054431,"about_ca_system_score_gemma":0.0001442519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005173064,"about_ca_topic_score_gemma":0.00000539742,"domain_scores_codex":[0.9954457,0.0009852964,0.0002853365,0.001814474,0.0006974909,0.0007717157],"domain_scores_gemma":[0.996518,0.002239702,0.0001867761,0.0003194402,0.000230411,0.0005056452],"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":[0.0002272718,0.0001407661,0.02197026,0.000007989527,6.387058e-7,0.0001093719,0.0002403658,0.00009401442,0.9741302,0.0001796429,0.000008980711,0.002890552],"study_design_scores_gemma":[0.0008985749,0.002024239,0.07629682,0.0002787704,0.00005188432,0.00002782357,0.0001224556,0.002738726,0.916809,0.0002184754,0.00005366542,0.000479583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870999,0.00003875543,0.009378169,0.0002912395,0.001046393,0.001666586,0.0001786556,0.000232243,0.00006802846],"genre_scores_gemma":[0.9970165,0.00001698886,0.00008677664,0.002491913,0.00005692498,0.0001357312,0.000004764649,0.00003602248,0.0001543236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05732116,"threshold_uncertainty_score":0.9998307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08820489390906831,"score_gpt":0.3770246874011702,"score_spread":0.2888197934921019,"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."}}