{"id":"W2045227172","doi":"10.1111/j.1749-6632.2000.tb06741.x","title":"Computational Modeling of Entorhinal Cortex","year":2000,"lang":"en","type":"review","venue":"Annals of the New York Academy of Sciences","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Entorhinal cortex; Neuroscience; Hippocampus; Acetylcholine; Computational model; Chemistry; Computer science; Biology; Artificial intelligence; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002801781,0.0006798157,0.00072667,0.0005819319,0.0001617735,0.0006406539,0.001525161,0.0008572013,0.001530955],"category_scores_gemma":[0.0005567853,0.0002587191,0.0003492624,0.0006293617,0.0005490237,0.0007994865,0.0004102386,0.0005724404,0.001399883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006650282,"about_ca_system_score_gemma":0.0006816147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154646,"about_ca_topic_score_gemma":0.001781977,"domain_scores_codex":[0.9999229,0.00001751146,0.000006740437,0.00001499842,0.00003226222,0.000005517025],"domain_scores_gemma":[0.9998889,0.00004540904,0.000008898178,0.00001249809,0.00003687169,0.000007406547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005071998,0.00003845256,0.0006086685,0.003878177,0.0001691264,0.0005292229,0.0001124216,0.3029235,0.008813067,0.1492325,0.01730015,0.516344],"study_design_scores_gemma":[0.00005470054,0.00006068146,0.001140235,0.0008731987,0.0000914665,0.001018504,0.00005646072,0.2133384,0.006354171,0.1812064,0.5957474,0.00005838356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01152207,0.7280475,0.2127095,0.002696081,0.0007381691,0.00006340986,0.0003292891,0.0008308593,0.04306306],"genre_scores_gemma":[0.1310405,0.8051845,0.04763667,0.0004380591,0.0006089893,0.0002097455,0.0005351749,0.00009703434,0.01424931],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002154646,"threshold_uncertainty_score":0.005121529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4250344247784013,"score_gpt":0.4403686734087299,"score_spread":0.01533424863032862,"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."}}