{"id":"W2018081862","doi":"10.1152/jn.00773.2011","title":"Nonhomogeneous transfer reveals specificity in speech motor learning","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Transfer of learning; Utterance; Generalization; Motor learning; Vowel; Speech recognition; Psychology; Consonant; Auditory feedback; Vocal tract; Audiology; Computer science; Communication; Artificial intelligence; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000822291,0.0001094099,0.0002947018,0.000170743,0.00004791415,0.000008677929,0.0002348804,0.00005522123,0.0001495504],"category_scores_gemma":[0.0003711668,0.0000886491,0.0001183001,0.0001499901,0.00005946991,0.0001272487,0.00001750284,0.0004343179,0.00003774072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001805309,"about_ca_system_score_gemma":0.00002707224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001184234,"about_ca_topic_score_gemma":0.000001469705,"domain_scores_codex":[0.9985939,0.0003988451,0.0004521944,0.0001869746,0.0001545715,0.0002135307],"domain_scores_gemma":[0.9994529,0.0001696099,0.0001535308,0.00009817906,0.00005477744,0.00007103304],"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":[0.000438973,0.000103835,0.00009605558,0.000005001324,0.00000218714,0.0009270686,0.0002550982,0.0003549602,0.9951653,0.0001843439,0.000001729664,0.002465379],"study_design_scores_gemma":[0.003351958,0.006920983,0.751336,0.0000691274,0.00003905085,0.002202183,0.0001185677,0.002992366,0.2237652,0.005143933,0.003554144,0.0005065479],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982784,0.00001136953,0.0003210277,0.00005865563,0.0004279773,0.00008751787,0.000001458522,0.00001006847,0.000803476],"genre_scores_gemma":[0.9988797,0.0001159275,0.0001737455,0.0003917929,0.0002147492,0.000001171876,1.029535e-7,0.00001407569,0.0002086867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7714002,"threshold_uncertainty_score":0.3615005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05556637356055251,"score_gpt":0.2476739085545249,"score_spread":0.1921075349939724,"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."}}