{"id":"W2017183468","doi":"10.1121/1.4805645","title":"Pitch affects voice onset time: A cross-linguistic study","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Voice-onset time; Audiology; Duration (music); Psychology; Variation (astronomy); Acoustics; Speech recognition; Linguistics; Mathematics; Voice; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009617041,0.000138579,0.0003183256,0.00002059507,0.0002477406,0.0001129498,0.001746272,0.00004650593,0.0002012359],"category_scores_gemma":[0.001107629,0.00006931883,0.0003720413,0.0004011541,0.0004236459,0.0001517735,0.0003533926,0.0003895397,0.0001588264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004563876,"about_ca_system_score_gemma":0.00009876985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005829336,"about_ca_topic_score_gemma":2.412943e-7,"domain_scores_codex":[0.9981983,0.0003565093,0.000390088,0.0001206407,0.0006803343,0.0002540729],"domain_scores_gemma":[0.9966332,0.001840714,0.000479544,0.0005146278,0.0004119721,0.0001198963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002702239,0.005719522,0.007358414,0.0001652477,0.002255789,0.00003725549,0.02148438,0.002593624,0.03590861,0.00003579155,0.4681025,0.4560686],"study_design_scores_gemma":[0.001763339,0.001949288,0.08404829,0.000191388,0.0006052833,0.0004951848,0.003298717,0.8945101,0.003299895,0.006845071,0.002468543,0.0005248777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4063509,0.0001510079,0.5813878,0.009684056,0.0007164879,0.0006697638,0.000006088214,0.00005887992,0.0009749479],"genre_scores_gemma":[0.9202533,0.00003283763,0.07735112,0.00192186,0.0001473977,0.000002996377,6.320172e-8,0.0000101581,0.0002801993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8919165,"threshold_uncertainty_score":0.3245037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391944952499937,"score_gpt":0.2719462792546596,"score_spread":0.2580268297296603,"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."}}