{"id":"W2117471613","doi":"10.1109/icme.2006.262863","title":"A Novel Interface for Audio Search","year":2006,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Computer science; Interface (matter); STREAMS; Active listening; Audio signal; Audio signal processing; Speech recognition; Data stream mining; Speech coding; Computer network; Operating system; Data mining","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":[0.0006149512,0.0006986144,0.0006525459,0.001094935,0.0004258146,0.001218127,0.002850686,0.001178206,0.01292845],"category_scores_gemma":[0.003605429,0.0003528094,0.0003846412,0.0008207901,0.0003591135,0.002264061,0.001512397,0.0007001347,0.003683587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208444,"about_ca_system_score_gemma":0.0004684048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015773,"about_ca_topic_score_gemma":0.0008383492,"domain_scores_codex":[0.9991583,0.0001488542,0.00008439663,0.0001433443,0.0003990245,0.00006602885],"domain_scores_gemma":[0.9982393,0.0007812377,0.00009338392,0.0002480302,0.0004953693,0.0001426119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001475229,0.000328868,0.001051227,0.000962475,0.00008197711,0.0005277908,0.0006329443,0.002190069,0.1636724,0.01113877,0.01913403,0.7988043],"study_design_scores_gemma":[0.0009121018,0.003313716,0.004119564,0.0003474292,0.0004573076,0.008672163,0.0006838295,0.4888888,0.1848586,0.01388,0.2933561,0.0005104074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0119574,0.0006897579,0.9743167,0.0001331428,0.0002341978,0.0002281188,0.0002142471,0.008091273,0.004135103],"genre_scores_gemma":[0.1307842,0.0005496255,0.8543386,0.0004265943,0.0002764537,0.0004934449,0.0008626246,0.0004566237,0.01181178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01292845,"threshold_uncertainty_score":0.04324996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205635236630647,"score_gpt":0.2860635175034389,"score_spread":0.2540071651371325,"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."}}