{"id":"W2975333661","doi":"10.1101/786434","title":"Predictive Representations in Hippocampal and Prefrontal Hierarchies","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Alzheimer Society; John Templeton Foundation; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; James S. McDonnell Foundation","keywords":"Similarity (geometry); Cognitive map; Inference; Landmark; Hippocampal formation; Computer science; Hippocampus; Cognitive psychology; Psychology; Artificial intelligence; Cognition; Neuroscience","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":[0.0003313509,0.0004620803,0.0004926266,0.0003790294,0.0001587505,0.0001893992,0.0005079439,0.0003570782,0.00003830362],"category_scores_gemma":[0.0007120646,0.000484909,0.00008742358,0.0003895301,0.0002116032,0.0003327578,0.0007945614,0.001043853,0.0000663294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274427,"about_ca_system_score_gemma":0.0002600485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808525,"about_ca_topic_score_gemma":0.000003846782,"domain_scores_codex":[0.9967345,0.0004085427,0.0004652416,0.001472751,0.0004006859,0.0005182727],"domain_scores_gemma":[0.9981622,0.0002932395,0.0002737484,0.0009831242,0.00006896156,0.0002187021],"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":[0.00009089079,0.00009755161,0.005339912,0.0001795243,0.00001214032,0.00009752544,0.0000488195,0.0001624448,0.9930269,0.0008987595,0.00004345911,0.000002034626],"study_design_scores_gemma":[0.000516322,0.0001074035,0.08857177,0.0002424751,0.0000277908,7.547317e-8,0.000007759984,0.002412097,0.9074869,0.00007082053,0.00007880982,0.0004778268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956183,0.0001982539,0.0006469513,0.0001705658,0.001470689,0.001260691,0.0003208452,0.0002511466,0.00006252794],"genre_scores_gemma":[0.997981,0.000268053,0.0009479059,0.0002703483,0.0001786592,0.0002548692,1.735638e-7,0.00007625231,0.00002271673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08554009,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917350610464677,"score_gpt":0.267762409513795,"score_spread":0.2285889034091483,"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."}}