{"id":"W2127647230","doi":"10.1016/j.neuroimage.2011.05.067","title":"On the context-dependent nature of the contribution of the ventral premotor cortex to speech perception","year":2011,"lang":"en","type":"article","venue":"NeuroImage","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Motor theory of speech perception; Premotor cortex; Psychology; Speech production; Neurocomputational speech processing; Perception; Covert; Syllabic verse; Speech perception; Efference copy; Context (archaeology); Cognitive psychology; Set (abstract data type); Consonant cluster; Consonant; Communication; Speech recognition; Neuroscience; Vowel; Computer science; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002109865,0.0000867377,0.0001028063,0.00002381586,0.0001058251,0.000007910143,0.0003026631,0.0001083282,0.001895718],"category_scores_gemma":[0.0002790402,0.00004510517,0.0001119061,0.000190317,0.00008003273,0.00004648411,0.00004433107,0.0002975921,0.00007234497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004048273,"about_ca_system_score_gemma":0.00002230422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006979868,"about_ca_topic_score_gemma":0.00004242608,"domain_scores_codex":[0.9989114,0.0003092924,0.0002246757,0.0001671897,0.0002690665,0.0001183149],"domain_scores_gemma":[0.9989974,0.00007594331,0.0002000339,0.0005368558,0.0001662602,0.00002351052],"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":[0.001897131,0.001949644,0.1518538,0.0000467782,0.0002582268,0.00000943039,0.02531143,0.00005993691,0.4979264,0.2158299,0.07675454,0.02810272],"study_design_scores_gemma":[0.0003437406,0.0001132879,0.9857267,0.0000154266,0.00002138822,0.000006266445,0.00034195,0.00007364828,0.01065579,0.0002254619,0.002430593,0.00004574784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909415,0.000009986244,0.0004383941,0.001577212,0.001473882,0.0007352552,0.00002543326,0.00001842689,0.004779858],"genre_scores_gemma":[0.9958945,0.000002020693,0.000009111685,0.002610201,0.00005110153,0.00001143105,0.000003665102,0.00001091962,0.001407048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8338729,"threshold_uncertainty_score":0.9990167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02964363404585221,"score_gpt":0.2823143769456668,"score_spread":0.2526707428998146,"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."}}