{"id":"W2621632537","doi":"10.1159/000448809","title":"Individual Talker and Token Covariation in the Production of Multiple Cues to Stop Voicing","year":2017,"lang":"en","type":"article","venue":"Phonetica","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health","keywords":"Voice; Voice-onset time; Vowel; Psychology; Duration (music); Variation (astronomy); Perception; Security token; Audiology; Vowel length; Speech production; Stop consonant; Speech recognition; Acoustics; Consonant; 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":[0.0009330399,0.0001902436,0.0002902538,0.0006341291,0.0001979819,0.0007486859,0.0001944475,0.0002997875,0.002352996],"category_scores_gemma":[0.004384755,0.0002043243,0.0001694169,0.0002824415,0.0005045102,0.000394034,0.000708046,0.0002701223,0.0003147334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631029,"about_ca_system_score_gemma":0.0001628083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007990104,"about_ca_topic_score_gemma":0.001031828,"domain_scores_codex":[0.9993338,0.0001490978,0.00005818309,0.0002630175,0.0001380143,0.00005790797],"domain_scores_gemma":[0.9955336,0.002689048,0.0008508061,0.0002961374,0.0003653131,0.0002651036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002223155,0.0001555008,0.6136758,0.0002795411,0.0003763893,0.0006006453,0.005787518,0.0006297897,0.3449886,0.0002479229,0.0001768456,0.03085838],"study_design_scores_gemma":[0.000006038039,0.0001684656,0.9895503,0.000008748731,0.00005937241,0.0004053527,0.0005286892,0.0005335332,0.008424988,0.000148363,0.0001463434,0.00001969355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988359,0.00006288677,0.0006699183,0.000005184182,0.000003884587,0.00000494379,0.00007869472,0.00001180121,0.0003268759],"genre_scores_gemma":[0.9993021,0.00002018789,0.0003868065,0.000004493752,0.000002542775,0.000007326101,0.00008982408,0.0000190966,0.0001676015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002352996,"threshold_uncertainty_score":0.007871509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07011527015579805,"score_gpt":0.3753075189475546,"score_spread":0.3051922487917565,"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."}}