{"id":"W2084558409","doi":"10.1121/1.4787942","title":"Categorization of a <i>s</i> <i>i</i> <i>b</i> <i>i</i> <i>l</i> <i>a</i> <i>n</i> <i>t</i>+<i>v</i> <i>o</i> <i>w</i> <i>e</i> <i>l</i> continuum in Japanese, Mandarin, and English","year":2006,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Formant; Vowel; Mandarin Chinese; Phonotactics; Categorization; American English; Speech recognition; Computer science; Acoustics; Mathematics; Audiology; Linguistics; Artificial intelligence; Phonology; Physics; Medicine","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":[0.0003521352,0.0001476274,0.00015136,0.0002698818,0.0002658245,0.0004432052,0.0001514846,0.0002881459,0.001851356],"category_scores_gemma":[0.0009587114,0.00008618669,0.0001358453,0.00009956792,0.0002882545,0.0002494589,0.0003940804,0.0002397964,0.0004446469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702772,"about_ca_system_score_gemma":0.0001892266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553995,"about_ca_topic_score_gemma":0.002163865,"domain_scores_codex":[0.999835,0.0000307404,0.00001861265,0.000062094,0.00002929057,0.00002424354],"domain_scores_gemma":[0.9993711,0.0001425011,0.0000544006,0.00004595421,0.0002050903,0.0001808635],"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":[0.00194987,0.0001945952,0.03831589,0.0001357539,0.00002051898,0.0001440297,0.003000076,0.0002732488,0.9350128,0.0003543411,0.0003010938,0.0202978],"study_design_scores_gemma":[0.00006876898,0.002213163,0.9345095,0.00003569842,0.00003844189,0.0004394662,0.005165359,0.004278096,0.05087158,0.0005897219,0.001740285,0.00004993412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985177,0.00001500636,0.0003235579,0.000005932243,0.000003026918,0.00001482025,0.00003823774,0.000005894167,0.001075936],"genre_scores_gemma":[0.9980204,0.00002342973,0.0008513025,0.00002155203,0.000002167028,0.00003431935,0.0001637406,0.000009046587,0.000873982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001851356,"threshold_uncertainty_score":0.006193399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007529388410032613,"score_gpt":0.2501898694676149,"score_spread":0.2426604810575823,"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."}}