{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006931324,0.00006572904,0.0001110679,0.00008759516,0.0001459223,0.00004330323,0.0002912165,0.00006398104,0.0000845244],"category_scores_gemma":[0.0005323292,0.00005103874,0.00001392664,0.00007392948,0.0001430368,0.00004293455,0.0001085648,0.0001608176,0.00004433516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006945999,"about_ca_system_score_gemma":0.00001380173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609302,"about_ca_topic_score_gemma":0.0005216018,"domain_scores_codex":[0.9991856,0.0001310415,0.0001482638,0.0002053209,0.000143513,0.0001862886],"domain_scores_gemma":[0.9992287,0.0001545649,0.00006947133,0.0004741449,0.0000405405,0.00003258414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007329441,0.000743705,0.4927364,0.0000593127,0.0001581632,0.00002123941,0.3119898,0.00005134316,0.1109292,0.003284535,0.01430838,0.06498499],"study_design_scores_gemma":[0.0003422209,0.0001240953,0.9937255,0.00001387873,0.00000900477,0.000008205659,0.0006650232,0.00004065382,0.003280034,0.0007615253,0.0009714446,0.00005844325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940105,0.0001099158,0.00004419005,0.003221368,0.0004291547,0.0003255251,0.000009315536,0.000005852918,0.001844149],"genre_scores_gemma":[0.9992469,0.00001782691,0.0002395638,0.00009633861,0.0001002689,0.00004471403,0.000004117689,0.000006920002,0.000243331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5009891,"threshold_uncertainty_score":0.2432794,"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."}}