{"id":"W4396948266","doi":"10.3758/s13421-024-01585-w","title":"Proactive interference of visual working memory chunks implicates long-term memory","year":2024,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Psychology; Short-term memory; Working memory; Interference theory; Cognitive psychology; Long-term memory; Visual short-term memory; Term (time); Iconic memory; Sensory memory; Memory rehearsal; Visual memory; Cognition; Cognitive science; 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":[0.0007437507,0.0006016077,0.0004183352,0.0004314807,0.0004021826,0.001456804,0.001123022,0.0006495236,0.004773455],"category_scores_gemma":[0.006666901,0.0003431485,0.0002831117,0.0003712396,0.0008349153,0.001834573,0.001202819,0.001354027,0.0005771255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004148119,"about_ca_system_score_gemma":0.0004739254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009244393,"about_ca_topic_score_gemma":0.0008235823,"domain_scores_codex":[0.9993914,0.00005855468,0.00005573813,0.0001574108,0.0002569442,0.00007987691],"domain_scores_gemma":[0.9944325,0.002360367,0.001065653,0.001514809,0.0003469831,0.0002797404],"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":[0.002745854,0.0005801978,0.01722398,0.0002873023,0.0002058833,0.0006182179,0.001019655,0.0005181579,0.912122,0.005151739,0.0009995912,0.0585275],"study_design_scores_gemma":[0.0005018964,0.002158283,0.6080998,0.0001062764,0.0004973767,0.002831026,0.001323659,0.00897531,0.3226179,0.04740227,0.005381251,0.0001049109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673842,0.0006109677,0.01743156,0.0004380454,0.0002094941,0.00007819529,0.0002958674,0.0002903369,0.01326132],"genre_scores_gemma":[0.9939422,0.0001311412,0.00329486,0.0002123532,0.00006826405,0.00005397109,0.0002009343,0.00009228773,0.002004002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004773455,"threshold_uncertainty_score":0.01596886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627677407397548,"score_gpt":0.3960264565547172,"score_spread":0.2332587158149624,"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."}}