{"id":"W3197800016","doi":"10.1167/jov.21.9.2129","title":"The multiple encoding benefit: contributions from the number of encoding opportunities amplifies benefits from the length of encoding duration in visual long-term memory","year":2021,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Reading and Literacy Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Encoding (memory); Recall; Duration (music); ENCODE; Computer science; Visual memory; Cognitive psychology; Psychology; Cognition; Neuroscience; Biology; Genetics; Gene","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":[0.00115939,0.0006322336,0.0007365542,0.0003595239,0.0002749628,0.001207857,0.0006601665,0.0006627432,0.004931935],"category_scores_gemma":[0.007018931,0.0004544192,0.0004122946,0.00022687,0.000504236,0.00210689,0.001953263,0.001936493,0.0003094159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003457552,"about_ca_system_score_gemma":0.0004969566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004962447,"about_ca_topic_score_gemma":0.0008873541,"domain_scores_codex":[0.9993305,0.00007698901,0.00008517844,0.0002007204,0.0002182128,0.00008835163],"domain_scores_gemma":[0.9952759,0.001918019,0.001005603,0.0008986543,0.0003046772,0.000597133],"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":[0.009691915,0.001290266,0.02081605,0.001368448,0.0004024052,0.0003604276,0.000712497,0.001929844,0.8317323,0.004474436,0.0006028888,0.1266185],"study_design_scores_gemma":[0.001287319,0.01419701,0.7078112,0.0006146969,0.001694506,0.003058831,0.0005658048,0.01283786,0.2103281,0.03727868,0.01003167,0.000294279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832172,0.002691924,0.01011227,0.000269606,0.00009164275,0.00005186311,0.0002354161,0.000081822,0.003248254],"genre_scores_gemma":[0.9847211,0.0007374526,0.01212876,0.0003006618,0.00008376081,0.0001109283,0.0003108568,0.0001303481,0.001476075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004931935,"threshold_uncertainty_score":0.01649892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04744066329251435,"score_gpt":0.3505803735167207,"score_spread":0.3031397102242064,"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."}}