{"id":"W1973430611","doi":"10.1109/mmsp.2007.4412821","title":"Multimodal Sensor Analysis of Sitar Performance: Where is the Beat?","year":2007,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Kalman filter; Wearable computer; Sensor fusion; Tracking (education); Artificial intelligence; Computer vision; Audio signal; Tracking system; Beat (acoustics); Speech recognition; Acoustics; Embedded system","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":[0.000377274,0.00007014685,0.0001315325,0.0001094768,0.0001217178,0.0000438051,0.0004371744,0.0000311741,0.0001717072],"category_scores_gemma":[0.000005954046,0.00004094602,0.00009314675,0.0009933247,0.00004483784,0.0002169902,0.00009770157,0.00006510712,0.00001710872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009930924,"about_ca_system_score_gemma":0.00002120103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006932423,"about_ca_topic_score_gemma":0.00003489935,"domain_scores_codex":[0.9992399,0.00000998466,0.000175836,0.0001718198,0.0002251457,0.0001772855],"domain_scores_gemma":[0.9993944,0.00006663348,0.000071724,0.0003540971,0.00007723514,0.0000359264],"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":[0.00002244363,0.0001616327,0.1569058,0.000116443,0.00104359,0.00001360598,0.01738291,0.003523583,0.006699301,0.004999305,0.008473475,0.8006579],"study_design_scores_gemma":[0.0002004663,0.0000376478,0.1338413,0.0000181903,0.0001680498,0.00000364834,0.0004312969,0.8309162,0.02954785,0.00006188748,0.004586034,0.0001874377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5219031,0.00008987454,0.4658975,0.001158636,0.00005093975,0.00003567848,6.453782e-7,0.00003715918,0.01082647],"genre_scores_gemma":[0.9656082,0.00001106904,0.03186504,0.001221706,0.00003081014,5.113181e-7,4.157253e-7,0.000002318977,0.001259973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8273926,"threshold_uncertainty_score":0.1880074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237615463894622,"score_gpt":0.249122820593893,"score_spread":0.2367466659549468,"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."}}