{"id":"W2033739146","doi":"10.1016/j.neuroimage.2003.09.071","title":"Learning new sounds of speech: reallocation of neural substrates","year":2003,"lang":"en","type":"article","venue":"NeuroImage","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":278,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Contrast (vision); Functional magnetic resonance imaging; Inferior frontal gyrus; Hindi; Superior temporal gyrus; Psychology; Audiology; Operculum (bryozoa); Insula; Speech perception; Neuroscience; Perception; Medicine; Computer science; Artificial intelligence; Biology","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":[0.000216563,0.00007762209,0.0001512265,0.00009463023,0.0000286304,0.000007474052,0.0001452548,0.00007193466,0.0008367778],"category_scores_gemma":[0.0001654389,0.00007874787,0.00004687367,0.0002172298,0.0001160634,0.00003234771,0.00001838913,0.0002714584,0.00005891601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004653483,"about_ca_system_score_gemma":0.00004771126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003503223,"about_ca_topic_score_gemma":0.00002259596,"domain_scores_codex":[0.9990392,0.0002274671,0.0002193913,0.0001865205,0.0001218843,0.0002055562],"domain_scores_gemma":[0.9993576,0.0001448274,0.0001057507,0.0002662375,0.00006898701,0.00005658031],"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":[0.0002074576,0.0002618405,0.1103231,0.00005492006,0.00006368269,0.0000686081,0.005820198,0.0001842123,0.8476216,0.007422327,0.00496049,0.02301158],"study_design_scores_gemma":[0.001312413,0.001219672,0.8296478,0.00001105344,0.0000258097,0.000100698,0.0004639056,0.0002397568,0.157509,0.004019192,0.005262141,0.0001886102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483314,0.000153452,0.00005277515,0.000137925,0.0002115021,0.00007895233,0.000002286432,0.00001670948,0.05101505],"genre_scores_gemma":[0.993772,0.0000239523,0.0001580908,0.00002633,0.00003331831,0.000001992793,0.000005082746,0.00001483576,0.005964449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7193246,"threshold_uncertainty_score":0.916213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05877719985842345,"score_gpt":0.349975592000267,"score_spread":0.2911983921418435,"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."}}