{"id":"W1724928191","doi":"","title":"Modelling vowel inherent spectral change in spontaneous speech","year":2012,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Vowel; Offset (computer science); Speech recognition; Mid vowel; Speech production; Audiology; Computer science; Psychology; Mathematics; Medicine; Formant","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002572847,0.0001451534,0.0001692805,0.0003452348,0.00006374263,0.00001924614,0.0002356223,0.0002377835,0.002315131],"category_scores_gemma":[0.00001965069,0.00016154,0.0000345831,0.0002296503,0.00006977818,0.00004276465,0.00002576136,0.0004945445,0.0009269639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003687272,"about_ca_system_score_gemma":0.0001598377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2753509,"about_ca_topic_score_gemma":0.1300579,"domain_scores_codex":[0.9982005,0.00006304518,0.0001820567,0.0002060827,0.0001173755,0.001230923],"domain_scores_gemma":[0.9988405,0.00005902068,0.00002693349,0.0003212714,0.00003305072,0.0007192364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007465648,0.002560846,0.300575,0.0002841251,0.0006737972,0.07079087,0.3253967,0.02203015,0.01280398,0.03158739,0.1034809,0.1290698],"study_design_scores_gemma":[0.001598766,0.0003060323,0.8966474,0.00006259784,0.00006640288,0.003296157,0.001540778,0.07489707,0.00008876318,0.002454772,0.01781872,0.001222559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841422,0.001057072,0.0003892049,0.0003138524,0.001535457,0.0002898082,0.00008215667,0.00001979641,0.01217044],"genre_scores_gemma":[0.9966303,0.00006454224,0.0004215214,0.0005524766,0.0007301286,0.00003367828,0.00002103228,0.0000340784,0.00151226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5960724,"threshold_uncertainty_score":0.9998509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09428205417170361,"score_gpt":0.3345912484890002,"score_spread":0.2403091943172966,"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."}}