{"id":"W4361000202","doi":"10.7554/elife.82250","title":"Extra-hippocampal contributions to pattern separation","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Hippocampal formation; Separation (statistics); Neuroscience; Biology; Chemistry; Cognitive science; Computer science; Psychology; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001626718,0.00007538571,0.00007936352,0.00007007796,0.0001847396,0.00003703057,0.00013121,0.00003493809,0.0002008838],"category_scores_gemma":[0.0006439758,0.00006997934,0.00003409225,0.0004237677,0.00001313544,0.0000950586,0.00004556264,0.00008069888,0.007542277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001708314,"about_ca_system_score_gemma":0.00001847608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001504318,"about_ca_topic_score_gemma":0.000004989779,"domain_scores_codex":[0.999069,0.00008519743,0.0001258861,0.0002441409,0.0002357618,0.0002400276],"domain_scores_gemma":[0.9995165,0.0001295028,0.00002510065,0.0001706794,0.00002745937,0.000130691],"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":[0.000008009596,0.00001229077,0.00003946456,0.000002180224,5.543869e-7,0.00002848808,0.0001276433,0.00006291354,0.986132,0.001226472,0.009414258,0.002945686],"study_design_scores_gemma":[0.0001379504,0.00007093609,0.0006681542,0.000006212626,0.000002187817,0.0000079265,0.00001618069,0.001041747,0.9883934,0.0005585001,0.009007636,0.00008920959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878115,0.000002564338,0.007435371,0.002524838,0.0007779469,0.0002419884,0.00008891838,0.0003158714,0.0008010029],"genre_scores_gemma":[0.9929445,0.00000786253,0.00001839879,0.004997597,0.0001862225,0.00004464206,0.000008038305,0.000008651567,0.001784121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007416972,"threshold_uncertainty_score":0.9932305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114975050924669,"score_gpt":0.3978332926939983,"score_spread":0.2863357876015313,"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."}}