{"id":"W2002710418","doi":"10.1016/j.neuroimage.2014.10.034","title":"The effect of rehearsal rate and memory load on verbal working memory","year":2014,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; Foundation for the National Institutes of Health","keywords":"Working memory; Psychology; Memory rehearsal; Verbal memory; Premotor cortex; Middle frontal gyrus; Inferior frontal gyrus; Cognitive psychology; Mnemonic; Superior parietal lobule; Audiology; Functional magnetic resonance imaging; Short-term memory; Neuroscience; Cognition; Dorsum","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":[0.001616281,0.0007287282,0.0008091963,0.0005198497,0.000268965,0.0009698928,0.001060407,0.0006535579,0.00689552],"category_scores_gemma":[0.01636408,0.0004552742,0.0003495687,0.0002970505,0.001090732,0.001524372,0.0006421155,0.0009257399,0.0009116234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292937,"about_ca_system_score_gemma":0.0003394751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006047247,"about_ca_topic_score_gemma":0.0005026009,"domain_scores_codex":[0.998958,0.0003445854,0.000127942,0.0002162089,0.0002174981,0.0001358944],"domain_scores_gemma":[0.9814087,0.01417042,0.001488218,0.001517233,0.0004452566,0.0009701176],"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":[0.3137902,0.01174413,0.04117852,0.000499272,0.0005183365,0.0007996061,0.002982787,0.00154702,0.5462989,0.0006511394,0.000452253,0.07953781],"study_design_scores_gemma":[0.004460796,0.06768209,0.6895217,0.0001173032,0.001094233,0.001734189,0.001569976,0.01215278,0.2159206,0.003819659,0.001709865,0.0002168221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981897,0.0002631979,0.0005805984,0.00004214529,0.00002543346,0.0000290715,0.00006684498,0.00002300526,0.0007798932],"genre_scores_gemma":[0.9975979,0.0001238998,0.000481425,0.00004923944,0.00008105479,0.0000684226,0.00008304851,0.0000586797,0.001456239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00689552,"threshold_uncertainty_score":0.02306777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05988751141987682,"score_gpt":0.3288585509643296,"score_spread":0.2689710395444528,"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."}}