{"id":"W2953153304","doi":"10.1101/lm.049486.119","title":"Scenes facilitate associative memory and integration","year":2019,"lang":"en","type":"article","venue":"Learning & Memory","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Episodic memory; Cognitive psychology; Psychology; Content-addressable memory; Reconstructive memory; Visual short-term memory; Context (archaeology); Explicit memory; Inference; Visual memory; Computer science; Cognition; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000423584,0.0001764078,0.0002155091,0.0000862538,0.0002350486,0.0000660111,0.0001448113,0.00006252321,0.000367716],"category_scores_gemma":[0.001163309,0.0001554447,0.00004803546,0.0001685453,0.00006815895,0.0003351742,0.00008193906,0.0004660586,0.000796469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003612261,"about_ca_system_score_gemma":0.00001821173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009578286,"about_ca_topic_score_gemma":0.00000423786,"domain_scores_codex":[0.9982443,0.0005156446,0.0001863947,0.0004923692,0.0002774479,0.0002838848],"domain_scores_gemma":[0.9990242,0.0005486225,0.000137428,0.0001748073,0.00002837807,0.00008659827],"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":[0.00004791255,0.00001886482,0.0004319789,0.00002082952,0.000002787543,0.00001094482,0.001773528,0.000123451,0.979294,0.0002877582,0.00003401945,0.01795394],"study_design_scores_gemma":[0.0004616514,0.0003331727,0.002068811,0.00004559803,0.000008377297,0.00001705977,0.0009251019,0.0018681,0.993158,0.0006375935,0.0002620007,0.0002145177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890375,0.00005081369,0.0001479449,0.0002860108,0.0005937519,0.0002846697,0.000003552714,0.0001800594,0.009415719],"genre_scores_gemma":[0.97423,0.00004397168,0.0001196995,0.000628961,0.00005845006,0.00001267022,0.00000265905,0.00001968368,0.02488394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01773942,"threshold_uncertainty_score":0.9999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06691334519813688,"score_gpt":0.2905398692514978,"score_spread":0.2236265240533609,"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."}}