{"id":"W2106903570","doi":"10.1162/jocn.2010.21585","title":"Influence of Musical Expertise on Segmental and Tonal Processing in Mandarin Chinese","year":2010,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Psychology; Mandarin Chinese; Tone (literature); Categorization; Linguistics; Perception; Vowel; Task (project management); Cognitive psychology; Speech recognition; Computer science","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":[0.000263642,0.0001990827,0.0001644045,0.0002036771,0.0001238515,0.0001551367,0.0001058292,0.0001939709,0.0008234582],"category_scores_gemma":[0.00193998,0.00008070824,0.00008751085,0.00008158558,0.0003365095,0.0001619517,0.0002669017,0.0001471932,0.00005897767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000164046,"about_ca_system_score_gemma":0.0001368699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003017036,"about_ca_topic_score_gemma":0.004514447,"domain_scores_codex":[0.9998552,0.00003543166,0.00001272098,0.00004283729,0.00003125706,0.00002255241],"domain_scores_gemma":[0.9991171,0.0004353015,0.0001433278,0.00006499667,0.00005894289,0.0001804055],"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":[0.001814662,0.0002029437,0.04297828,0.00005695673,0.00005775224,0.0006829253,0.0006669179,0.0003498265,0.936292,0.00007647689,0.00004382218,0.0167775],"study_design_scores_gemma":[0.00004823205,0.0007534714,0.9715059,0.000003874658,0.00003776038,0.0004888759,0.0002603715,0.00129192,0.02533859,0.0001257707,0.000134317,0.00001093756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997872,0.00001092695,0.00004738689,0.000005549492,5.514764e-7,0.000001214833,0.000003562571,7.37487e-7,0.0001428794],"genre_scores_gemma":[0.9997002,0.00001729375,0.0001245401,0.00001092434,0.000001814535,0.000002479102,0.00001220628,0.000001425509,0.0001291718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003017036,"threshold_uncertainty_score":0.005998969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180632601185371,"score_gpt":0.321341688731522,"score_spread":0.2995353627196683,"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."}}