{"id":"W2142650989","doi":"","title":"A computational model of hippocampal function in trace conditioning","year":2008,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Contiguity; Conditioning; Classical conditioning; Engram; Computer science; Hippocampal formation; Fear conditioning; Latency (audio); Stimulus (psychology); Operant conditioning; Neuroscience; Reinforcement learning; Reinforcement; Psychology; Artificial intelligence; Cognitive psychology; 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":[0.0001577654,0.0001123139,0.0001682562,0.0002173864,0.0002188182,0.00005781872,0.0001084391,0.00006330313,0.000009092675],"category_scores_gemma":[0.0001196947,0.0001060833,0.00003237202,0.0003536094,0.00006265838,0.002683601,0.00001503159,0.0001483384,0.00002266554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003337023,"about_ca_system_score_gemma":0.00007905738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003864374,"about_ca_topic_score_gemma":3.353021e-7,"domain_scores_codex":[0.9986401,0.00007262349,0.0006069241,0.0001322923,0.0003847136,0.0001633546],"domain_scores_gemma":[0.9993351,0.00007319308,0.0003725613,0.00007703648,0.00009694313,0.00004517982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007386546,0.00002798057,0.0001112802,0.0002213016,7.181133e-7,0.000002399505,0.001672545,0.9293039,0.06464975,0.002380814,0.00006334666,0.001492036],"study_design_scores_gemma":[0.0004606114,0.0000634847,0.0001977754,0.00007352317,0.000002446008,0.0001317441,0.0001823791,0.9511979,0.04687854,0.0006888338,0.00001949711,0.0001033072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582646,0.00002081008,0.04004849,0.00005223575,0.0002701916,0.0002551611,0.00001466047,0.0000881048,0.0009857735],"genre_scores_gemma":[0.999328,0.000002080402,0.0002232051,0.0002955869,0.00001990853,0.0000319336,0.00001467841,0.000006257973,0.00007837181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04106341,"threshold_uncertainty_score":0.4325951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011215391529667,"score_gpt":0.2917295700002747,"score_spread":0.190608030847308,"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."}}