{"id":"W3205733602","doi":"10.7554/elife.65456","title":"Learning differentially shapes prefrontal and hippocampal activity during classical conditioning","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Studienstiftung des Deutschen Volkes; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Neuroscience; Hippocampal formation; Prefrontal cortex; Psychology; Licking; Conditioning; Hippocampus; Classical conditioning; Task (project management); Electrophysiology; Cognitive psychology; Cognition; Biology","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":[0.00005586959,0.0001134915,0.00014153,0.00002595564,0.0004008976,0.00009921326,0.00006925314,0.00005496404,0.0003219125],"category_scores_gemma":[0.0004598668,0.0001097615,0.00004129994,0.00007396629,0.00005726694,0.000214821,0.0001414489,0.0003143369,0.00003680446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000165751,"about_ca_system_score_gemma":0.00002583633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.341937e-7,"about_ca_topic_score_gemma":0.000005165323,"domain_scores_codex":[0.9988282,0.0002161768,0.000104986,0.0003860723,0.0002402001,0.0002244047],"domain_scores_gemma":[0.9995847,0.0001558091,0.00005109219,0.00007903128,0.00001510857,0.000114195],"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":[0.00003572912,0.00003663132,0.0003283901,0.00001612078,0.00000243243,0.0001265397,0.0001380064,0.00001217292,0.9976516,0.0004478659,0.000007265705,0.001197181],"study_design_scores_gemma":[0.0003558396,0.00006635692,0.0269564,0.00002314165,0.000007074648,0.0001262651,0.00005075999,0.001112886,0.9709655,0.0001466761,0.00006475332,0.0001243165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984934,0.00001500046,0.0002527311,0.0002049321,0.0002143216,0.00006184007,0.000004517919,0.0001015853,0.000651646],"genre_scores_gemma":[0.9980747,0.00002401045,0.00006294665,0.0001911433,0.0001443156,0.000007449183,0.000001790557,0.00001278187,0.00148093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02668614,"threshold_uncertainty_score":0.4475946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735851759623384,"score_gpt":0.2851350898121601,"score_spread":0.2377765722159263,"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."}}