{"id":"W2507507388","doi":"10.3765/plsa.v1i0.3730","title":"Consonant effects on tonal registers in Jiashan Wu","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Linguistic Society of America","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Pennsylvania","keywords":"Register (sociolinguistics); Phonation; Realization (probability); Consonant; Tone (literature); Breathy voice; Speech recognition; Mathematics; Vowel; Acoustics; Audiology; Linguistics; Computer science; Statistics; Medicine; Physics","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":[0.0002998406,0.0001238156,0.0002923889,0.00004359889,0.00004401664,0.000005057116,0.0004726317,0.0001009495,0.00007226601],"category_scores_gemma":[0.0010047,0.00007421254,0.0001851802,0.0002543162,0.0007546716,0.000009448673,0.0001267433,0.0002043353,0.00002240374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004334358,"about_ca_system_score_gemma":0.00004031032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000197298,"about_ca_topic_score_gemma":6.094571e-7,"domain_scores_codex":[0.9988816,0.00001802409,0.0002672911,0.0002664714,0.0002454678,0.0003211298],"domain_scores_gemma":[0.9986099,0.000723102,0.0002633537,0.000171346,0.0001791159,0.00005315357],"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":[0.001816029,0.001537585,0.1830373,0.001094276,0.0009247168,0.000008637847,0.08363261,0.000001730169,0.3753155,0.01791186,0.2594464,0.07527331],"study_design_scores_gemma":[0.009415894,0.004101409,0.7003238,0.003550947,0.0001663012,0.00003965457,0.005232462,0.0002501286,0.1483218,0.04314831,0.08438857,0.001060802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668566,0.000202271,0.00001996236,0.005455201,0.0006632099,0.0003336622,0.00001828084,0.00002138453,0.02642945],"genre_scores_gemma":[0.9972153,0.00006470553,0.0007020133,0.0005714084,0.0001346284,0.00002523001,2.939676e-7,0.00001606975,0.001270385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5172864,"threshold_uncertainty_score":0.30263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145089601214537,"score_gpt":0.3132077125582319,"score_spread":0.2917568165460865,"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."}}