{"id":"W1568759371","doi":"","title":"Vowel quality and duration in deg xinag","year":2008,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vowel; Duration (music); Mid vowel; Diphthong; Mathematics; Speech recognition; Acoustics; Computer science; Physics; Formant","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002807329,0.0001697424,0.0002522052,0.0006598551,0.0007846503,0.000655916,0.0001381248,0.0002427079,0.001267702],"category_scores_gemma":[0.0008101371,0.0001262831,0.0001073741,0.0006054023,0.0004832135,0.0002953348,0.00043688,0.0002378148,0.0002254204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005256026,"about_ca_system_score_gemma":0.000255664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533934,"about_ca_topic_score_gemma":0.03398297,"domain_scores_codex":[0.9998401,0.00002190291,0.00001494834,0.00004915852,0.00003618998,0.00003766164],"domain_scores_gemma":[0.9995263,0.00008766945,0.0001353138,0.00003885744,0.0001243502,0.00008752444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001675725,0.0001972235,0.9017787,0.00006140412,0.00004394658,0.000770351,0.02066784,0.0001187653,0.05675838,0.0002882828,0.0001333626,0.01750602],"study_design_scores_gemma":[0.000002846131,0.0001633425,0.9956839,0.000003146329,0.00000885204,0.0002086908,0.002841223,0.00005981248,0.000611971,0.00004027659,0.0003703277,0.000005735477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994343,0.00002708224,0.0000240495,0.000003399733,0.00000161026,0.000001457564,0.0000205143,0.000001226017,0.0004863178],"genre_scores_gemma":[0.9992312,0.0000233649,0.00008198289,0.000009960613,0.000001457404,0.000002722538,0.00005811075,0.000002479144,0.000588785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533934,"threshold_uncertainty_score":0.03050011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09906328189334543,"score_gpt":0.3694900139553385,"score_spread":0.2704267320619931,"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."}}