{"id":"W4207039368","doi":"10.1002/9781118521373.wbeaa054","title":"Memory Schema","year":2015,"lang":"en","type":"other","venue":"The Encyclopedia of Adulthood and Aging","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Schema (genetic algorithms); Associative property; Cognitive science; Cognition; Semantic memory; Psychology; Computer science; Content-addressable memory; Cognitive psychology; Neuroscience; Artificial intelligence; Artificial neural network; Information retrieval","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":[0.0008162514,0.0004977754,0.0002664792,0.001433435,0.001188534,0.005063384,0.001080503,0.001350162,0.05867287],"category_scores_gemma":[0.003606016,0.000177427,0.0004220379,0.001600602,0.002787545,0.00687718,0.002116774,0.001352662,0.01921404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595934,"about_ca_system_score_gemma":0.001462898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947632,"about_ca_topic_score_gemma":0.001597869,"domain_scores_codex":[0.9993318,0.0001466209,0.000066635,0.0001754795,0.0002055027,0.00007396356],"domain_scores_gemma":[0.9991044,0.000147189,0.00008839426,0.0002611267,0.0003035044,0.00009534556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004056947,0.00002959562,0.0007371306,0.0002006377,0.00001935964,0.0001610003,0.003078194,0.0001638533,0.0004289346,0.7016854,0.1251037,0.1683516],"study_design_scores_gemma":[0.000007339179,0.00001682889,0.000576868,0.0001978052,0.000009575399,0.0006859567,0.0007534138,0.0001023082,0.0004739506,0.1275429,0.8696201,0.00001278942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007505317,0.01504711,0.02530049,0.01235259,0.001369931,0.0001295076,0.002031617,0.0006706687,0.9355928],"genre_scores_gemma":[0.3334914,0.03103871,0.03511486,0.01149164,0.001629811,0.0003525676,0.006612402,0.0005986214,0.5796699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05867287,"threshold_uncertainty_score":0.1962803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846508764054096,"score_gpt":0.2847407817710131,"score_spread":0.2462756941304721,"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."}}