{"id":"W2159067642","doi":"10.1109/icme.2006.262674","title":"Interactive Content-Aware Music Browsing using the Radio Drum","year":2006,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Metadata; Computer science; Music information retrieval; Drum; Digital audio; Interface (matter); Space (punctuation); Multimedia; Key (lock); Information retrieval; World Wide Web; Audio signal; Speech recognition; Musical","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":[0.0001561656,0.0001220026,0.0001192532,0.00005074758,0.0003581605,0.0004121663,0.0005394718,0.00003220117,0.00005140186],"category_scores_gemma":[0.0000116198,0.00007757547,0.00006235904,0.0002697297,0.00006766889,0.0007777671,0.0002013315,0.0001393876,0.00001796479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005833629,"about_ca_system_score_gemma":0.00006286223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004308025,"about_ca_topic_score_gemma":0.00004621593,"domain_scores_codex":[0.9990378,0.00004795027,0.0001830041,0.0002763797,0.0001868413,0.0002680485],"domain_scores_gemma":[0.9993861,0.00008655016,0.0001079532,0.0003073917,0.00007952964,0.00003242317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005178761,0.0005280799,0.008945179,0.0001364667,0.0002078222,0.0002454645,0.0149692,0.005891281,0.1524914,0.1966245,0.08225449,0.5376543],"study_design_scores_gemma":[0.0009952557,0.00004753105,0.005166972,0.0002751778,0.00003393973,0.0002859344,0.001892277,0.9114802,0.05553065,0.008625201,0.01487181,0.0007949896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07069376,0.0001134099,0.9163591,0.001622168,0.0004627074,0.00008829388,3.621374e-7,0.0001389778,0.01052118],"genre_scores_gemma":[0.9790148,6.014682e-7,0.0172748,0.002255502,0.0002276729,0.000002258173,7.037713e-7,0.000008098068,0.001215582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.908321,"threshold_uncertainty_score":0.397453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05593431379097046,"score_gpt":0.2503078826362744,"score_spread":0.1943735688453039,"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."}}