{"id":"W2968373527","doi":"10.1525/mp.2019.36.5.480","title":"Vowel Formant Structure Predicts Metric Position in Hip-hop Lyrics","year":2019,"lang":"en","type":"article","venue":"Music Perception An Interdisciplinary Journal","topic":"Music and Audio Processing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Formant; Beat (acoustics); Vowel; Lyrics; Speech recognition; Acoustics; Linguistics; Psychology; Audiology; Mathematics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004117158,0.0002719824,0.0002180707,0.0006372809,0.0003069276,0.001232132,0.0001314425,0.0003057652,0.003166163],"category_scores_gemma":[0.004192241,0.0002387763,0.0001597943,0.0003224832,0.0003151048,0.0004079986,0.0005357351,0.0003099857,0.001588567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219622,"about_ca_system_score_gemma":0.0001288695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352534,"about_ca_topic_score_gemma":0.003662513,"domain_scores_codex":[0.9997849,0.00004305544,0.00002064286,0.00005666011,0.00006090521,0.00003384233],"domain_scores_gemma":[0.9986061,0.0006399857,0.0002600295,0.00009736423,0.0002514322,0.0001451138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001412478,0.0001608258,0.6071146,0.0001877847,0.000104858,0.0002958516,0.00429312,0.001835389,0.3209317,0.001061304,0.0007990448,0.06180302],"study_design_scores_gemma":[0.000008250988,0.0001224313,0.9921476,0.00001179103,0.00001236289,0.0001877053,0.0005004578,0.003165258,0.003112081,0.0002220537,0.0004969094,0.00001317652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964861,0.00008942303,0.0008509803,0.00001248691,0.000004789454,0.000009036093,0.0001086752,0.00001808809,0.002420479],"genre_scores_gemma":[0.9985928,0.00004126394,0.0004182796,0.000005588596,0.000003752972,0.000006523426,0.0002861664,0.0000242577,0.0006212693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003166163,"threshold_uncertainty_score":0.01059186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625474047628488,"score_gpt":0.2861840817196569,"score_spread":0.269929341243372,"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."}}