{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001961322,0.0002588244,0.0001976272,0.0002072472,0.0001637641,0.0005824002,0.0003294201,0.0003029809,0.00420403],"category_scores_gemma":[0.001246604,0.000176509,0.0002586754,0.00009990802,0.0003165615,0.001157582,0.000956802,0.0004322819,0.0002897197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115971,"about_ca_system_score_gemma":0.0002177123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006054222,"about_ca_topic_score_gemma":0.0008406002,"domain_scores_codex":[0.9998522,0.00002721696,0.00001063303,0.00004573868,0.00003367686,0.00003052906],"domain_scores_gemma":[0.9996269,0.0001182409,0.00009047287,0.00006710216,0.00003775357,0.00005950367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001761247,0.0005245185,0.005670676,0.0005020379,0.0001061677,0.0003362927,0.0009331899,0.0005514192,0.8617221,0.004903047,0.0008461809,0.122143],"study_design_scores_gemma":[0.0003137484,0.006115972,0.2621163,0.0002914698,0.0005515159,0.002358575,0.001868429,0.00816846,0.6659672,0.02885462,0.02328687,0.0001067756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853715,0.001096705,0.005338859,0.0001998943,0.00007156836,0.00003095691,0.0001154545,0.0001021627,0.007673062],"genre_scores_gemma":[0.9914572,0.0007044258,0.005268062,0.00010466,0.00001874528,0.00002103173,0.0001293993,0.00002183307,0.002274757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00420403,"threshold_uncertainty_score":0.01406389,"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."}}