{"id":"W4245804456","doi":"10.1121/1.4801029","title":"Acoustic characteristics of glottalized obstruents in Gitksan","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Obstruent; Salient; Speech recognition; Computer science; Feature (linguistics); Linguistics; Artificial intelligence; Vowel","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001437821,0.0002836088,0.0002769257,0.0005763947,0.000629683,0.0006123138,0.0002061693,0.00037613,0.002375399],"category_scores_gemma":[0.0006007777,0.0002251736,0.0001368265,0.000519784,0.0009576469,0.0002792738,0.0007222191,0.0003504296,0.0007249913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255992,"about_ca_system_score_gemma":0.0001799005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637662,"about_ca_topic_score_gemma":0.01637806,"domain_scores_codex":[0.9998606,0.0000157561,0.00001379858,0.0000474895,0.0000328509,0.00002935222],"domain_scores_gemma":[0.9997463,0.00008648509,0.0000403273,0.00002418873,0.00006654412,0.00003621496],"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":[0.001165775,0.00007859553,0.2077997,0.0003467156,0.00004746357,0.002870836,0.05081606,0.0002222366,0.7109868,0.0003254521,0.0002658143,0.02507467],"study_design_scores_gemma":[0.000008706954,0.0003085419,0.9651652,0.00001835147,0.0000229933,0.002280313,0.02329964,0.0001383503,0.006915702,0.00007168504,0.001741585,0.0000288608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987988,0.00003663357,0.00008046011,0.000007609986,0.000002564578,0.000004278336,0.00006494362,0.000005863154,0.0009987181],"genre_scores_gemma":[0.9987048,0.00005054127,0.0001730661,0.00001016907,0.000001880772,0.000006992187,0.0001750706,0.00001064062,0.0008668033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005637662,"threshold_uncertainty_score":0.01120973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891016226701468,"score_gpt":0.2981188192468965,"score_spread":0.2792086569798818,"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."}}