{"id":"W4300957608","doi":"","title":"Speech Motor Learning Drives Changes in Speech Perception","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Motor theory of speech perception; Speech recognition; Neurocomputational speech processing; Perception; Speech perception; Speech technology; Speech processing; Psychology; Neuroscience","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":[0.00036287,0.0003040023,0.0003361649,0.0001932729,0.0001480575,0.001088857,0.000222829,0.0004263753,0.009755193],"category_scores_gemma":[0.003515821,0.0002606699,0.0001859137,0.0001476697,0.0003254827,0.0004224841,0.0004908642,0.0006943303,0.00112526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854099,"about_ca_system_score_gemma":0.0003669364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039581,"about_ca_topic_score_gemma":0.0008784299,"domain_scores_codex":[0.9997627,0.0000334359,0.00001428094,0.0001042436,0.00005112963,0.00003415088],"domain_scores_gemma":[0.9982975,0.0009274894,0.0002504168,0.0001405863,0.0001631882,0.0002208231],"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":[0.001906043,0.0002763924,0.01076657,0.0002199273,0.00007878376,0.0002128533,0.0004815702,0.00207177,0.9179066,0.002003005,0.001014779,0.06306168],"study_design_scores_gemma":[0.0002064694,0.001083032,0.8459248,0.00007061422,0.0001593049,0.0004439545,0.0005840942,0.03294801,0.104822,0.009449372,0.004254136,0.00005425567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97672,0.0004310374,0.01094704,0.0004086666,0.0001749554,0.00005353785,0.000317701,0.0001987208,0.01074821],"genre_scores_gemma":[0.9932111,0.0001821025,0.001819063,0.00008393398,0.00004985398,0.00002586107,0.0001387149,0.0001024529,0.004386961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009755193,"threshold_uncertainty_score":0.03263438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635080599037008,"score_gpt":0.2738175924249189,"score_spread":0.2474667864345488,"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."}}