{"id":"W3083935540","doi":"10.1152/jn.00457.2020","title":"Contribution of sensory memory to speech motor learning","year":2020,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; National Institute on Deafness and Other Communication Disorders; European Research Council; Agence Nationale de la Recherche","keywords":"Sensory system; Speech production; Psychology; Auditory feedback; Echoic memory; Sensory memory; Working memory; Cognitive psychology; Neuroscience; Computer science; Speech recognition; Cognition","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":[0.0004651858,0.0002666342,0.0002868111,0.000330622,0.0001552646,0.0007133663,0.000346911,0.000388929,0.002610901],"category_scores_gemma":[0.004921735,0.0001067504,0.0001958653,0.0001405174,0.0005483478,0.0005638277,0.0005229361,0.0005552642,0.0002247479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391807,"about_ca_system_score_gemma":0.0003461907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006994371,"about_ca_topic_score_gemma":0.000724417,"domain_scores_codex":[0.9998419,0.00003098511,0.00001374459,0.00004431282,0.00004040466,0.00002861405],"domain_scores_gemma":[0.9976072,0.001160413,0.0004407225,0.0002720003,0.0002354415,0.0002841116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00246103,0.001210066,0.5216006,0.0005218122,0.0004259528,0.001689928,0.0008259556,0.003957272,0.136392,0.004060862,0.0008031199,0.3260515],"study_design_scores_gemma":[0.00004010971,0.001954418,0.9407327,0.0001034693,0.0002081878,0.002194653,0.0004441043,0.007515632,0.03334235,0.01241619,0.0009885035,0.00005968566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938499,0.0005227349,0.001888151,0.0001415323,0.00003080348,0.000007268466,0.00006019811,0.00002563018,0.003473783],"genre_scores_gemma":[0.9991002,0.0001542906,0.0002811183,0.00002944722,0.00001021252,0.000002814697,0.00003453057,0.000003742481,0.0003836054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002610901,"threshold_uncertainty_score":0.008734286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583795127062989,"score_gpt":0.26286700071555,"score_spread":0.2270290494449201,"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."}}