{"id":"W2132189140","doi":"10.18061/1811/48548","title":"Using Automated Rhyme Detection to Characterize Rhyming Style in Rap Music","year":2010,"lang":"en","type":"article","venue":"Empirical Musicology Review","topic":"Music and Audio Processing","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rhyme; Style (visual arts); Psychology; Speech recognition; Communication; Art; Linguistics; Computer science; Literature; Philosophy; Poetry","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":[0.0008446387,0.0002391971,0.0005777025,0.0002118542,0.0001732885,0.0001043903,0.0006419488,0.0001882576,0.0002338329],"category_scores_gemma":[0.0004040286,0.000214692,0.0001003343,0.001506003,0.0000652107,0.0004344925,0.0003687807,0.0005445775,0.0001833297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007362728,"about_ca_system_score_gemma":0.0001524759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002040083,"about_ca_topic_score_gemma":0.00007861597,"domain_scores_codex":[0.9978178,0.0002174308,0.0005810078,0.0006559221,0.0001996593,0.0005281608],"domain_scores_gemma":[0.9988355,0.0001317179,0.0002069159,0.0005359561,0.00009305796,0.0001968627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001469119,0.0003048799,0.001872207,0.001296726,0.00002505315,0.0001588106,0.00130264,0.00001656619,0.2709888,0.0003779966,0.02692994,0.6967117],"study_design_scores_gemma":[0.001167336,0.000290519,0.07916092,0.00337599,0.00007769597,0.0006574297,0.000007845699,0.08389281,0.0033535,0.0004573748,0.8261767,0.001381874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857554,0.002384174,0.06969567,0.0372835,0.002364733,0.0009727717,0.000001301219,0.0008349544,0.000707478],"genre_scores_gemma":[0.6942794,0.0002433405,0.04020268,0.2646151,0.0004324632,0.0001246376,0.000003471941,0.00003516176,0.00006374119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7992468,"threshold_uncertainty_score":0.8754886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135838939556501,"score_gpt":0.3659130687035156,"score_spread":0.2523291747478655,"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."}}