{"id":"W1975496606","doi":"10.1523/jneurosci.4196-07.2008","title":"Specificity of Speech Motor Learning","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Representation (politics); Dynamics (music); Motor learning; Transfer of learning; Psychology; Control (management); Motor control; Kinematics; Computer science; Speech recognition; Communication; Artificial intelligence; 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":[0.0005362352,0.0002745795,0.0006767142,0.0002076216,0.0002602805,0.0007389804,0.0004003015,0.0006838356,0.003322251],"category_scores_gemma":[0.003293379,0.0002703418,0.0002645482,0.00009037979,0.001201986,0.0006849571,0.001403484,0.001081195,0.0007458808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003085113,"about_ca_system_score_gemma":0.0003684632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005396167,"about_ca_topic_score_gemma":0.0005559233,"domain_scores_codex":[0.9989806,0.0001319041,0.00007091645,0.0004417861,0.0002344052,0.0001405361],"domain_scores_gemma":[0.9983204,0.0006899833,0.000180472,0.0004496517,0.0001826014,0.0001769451],"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":[0.0002405865,0.00005461761,0.006210848,0.0001246938,0.00002531423,0.0001928824,0.0002368845,0.001427978,0.9656137,0.001041992,0.0000828376,0.02474766],"study_design_scores_gemma":[0.00005505799,0.001043908,0.4162122,0.00006087115,0.00007744483,0.003529913,0.0006851457,0.01304564,0.5553567,0.006741827,0.003111594,0.00007970213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978604,0.0002986257,0.01006981,0.0001244134,0.00002489954,0.00004387418,0.00008470176,0.0001570158,0.01059268],"genre_scores_gemma":[0.9979463,0.0000502384,0.0009771413,0.00006421569,0.000004833838,0.00001984703,0.00009076823,0.00002595465,0.0008206239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003322251,"threshold_uncertainty_score":0.011114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06723757182708734,"score_gpt":0.2709470513439198,"score_spread":0.2037094795168325,"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."}}