{"id":"W4295073916","doi":"10.1101/2022.09.08.507204","title":"Evolution of predictive memory in the hippocampus","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Toronto Rehabilitation Institute; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Hippocampal formation; Ensemble learning; Computer science; Task (project management); Hippocampus; Machine learning; Predictive value; Artificial intelligence; Ensemble forecasting; Recall; Neuroscience; Cognitive psychology; Psychology","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":[0.0006212977,0.0002398393,0.0002614549,0.0005570491,0.0003543304,0.0007950868,0.0006702074,0.0007977244,0.0007126939],"category_scores_gemma":[0.0009146685,0.0002593971,0.0003432272,0.0001877229,0.001167802,0.001005187,0.0009424005,0.001274964,0.0002494636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007324266,"about_ca_system_score_gemma":0.0003357806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008719673,"about_ca_topic_score_gemma":0.0006999706,"domain_scores_codex":[0.9997988,0.00002658613,0.00001183572,0.00007499538,0.00005319211,0.00003464867],"domain_scores_gemma":[0.9995679,0.00006224262,0.00006386035,0.00010711,0.0001038121,0.00009502515],"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":[0.0003505297,0.0001635747,0.0360178,0.0001750583,0.0002040062,0.0009886329,0.0007358016,0.02845383,0.7752625,0.06408824,0.001566263,0.09199382],"study_design_scores_gemma":[0.0002010663,0.001150452,0.2359179,0.0002181651,0.000326548,0.00427042,0.0007334123,0.1761166,0.3375736,0.1996032,0.0435616,0.0003271172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709908,0.00115584,0.01987078,0.0007799878,0.00005167555,0.00001201642,0.00009473757,0.0001747741,0.0068694],"genre_scores_gemma":[0.9921921,0.0003312372,0.006061621,0.000106432,0.00002453944,0.00001115317,0.0001108897,0.00002698636,0.001135083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008719673,"threshold_uncertainty_score":0.005314112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03475041609586374,"score_gpt":0.2535033748697554,"score_spread":0.2187529587738917,"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."}}