{"id":"W2009250109","doi":"10.1080/14015430410026144","title":"High-speed imaging of the voicing source in laryngectomees during production of voiced-voiceless distinctions for stop consonants","year":2004,"lang":"en","type":"article","venue":"Logopedics Phoniatrics Vocology","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Voice; Voice-onset time; Spectrogram; Speech production; Audiology; Stop consonant; Perception; Duration (music); Intelligibility (philosophy); Acoustics; Speech recognition; Psychology; Computer science; Medicine; Consonant; Physics; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592933,0.0002407661,0.0001938409,0.0004364546,0.0001901082,0.0002055424,0.0001190278,0.000389805,0.001181197],"category_scores_gemma":[0.0008918084,0.000220522,0.0001104665,0.0001085769,0.0003084269,0.0002082553,0.0002609636,0.0001636231,0.0001883938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087504,"about_ca_system_score_gemma":0.00007359681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009853471,"about_ca_topic_score_gemma":0.001729339,"domain_scores_codex":[0.9999089,0.00002230666,0.000005451712,0.00002148201,0.0000183467,0.00002344592],"domain_scores_gemma":[0.9997359,0.0001126511,0.00005059065,0.00001701275,0.00003371685,0.00005017867],"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":[0.003087595,0.0001454432,0.1528999,0.0001873276,0.00006926393,0.005484848,0.005000271,0.0002060194,0.7930615,0.00004670542,0.0001121756,0.039699],"study_design_scores_gemma":[0.0000397169,0.002070147,0.9327794,0.00001229099,0.00008659025,0.008185062,0.002570511,0.0004915783,0.0531911,0.00004902442,0.000493363,0.00003123385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999468,0.0000674125,0.0003482291,0.000005760504,0.000001066019,0.000003744283,0.00001046394,0.000004034537,0.0000912527],"genre_scores_gemma":[0.9990885,0.00006727883,0.0005206572,0.000009616319,0.000006016907,0.000004485967,0.0000260548,0.000002782446,0.000274537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001181197,"threshold_uncertainty_score":0.00395143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194172368302041,"score_gpt":0.3124214994561206,"score_spread":0.2930042626259165,"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."}}