{"id":"W2004922294","doi":"10.3813/aaa.918321","title":"Gesture Control of Sound Synthesis: Analysis and Classification of Percussion Gestures","year":2010,"lang":"en","type":"article","venue":"Acta acustica united with Acustica","topic":"Human Motion and Animation","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Percussion; Gesture; Sound (geography); Acoustics; Speech recognition; Computer science; Communication; Control (management); Psychology; Artificial intelligence; 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":[0.0004390255,0.0004615706,0.0005547985,0.00108814,0.0003016462,0.0008465371,0.0003255199,0.0005152731,0.004154923],"category_scores_gemma":[0.001559286,0.0001851971,0.0004202902,0.0004934488,0.0004477107,0.000301141,0.0004277048,0.0003181994,0.001078762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796271,"about_ca_system_score_gemma":0.0002522716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748129,"about_ca_topic_score_gemma":0.002358482,"domain_scores_codex":[0.9996927,0.00004595886,0.00001672208,0.00008035022,0.0001056142,0.00005879153],"domain_scores_gemma":[0.9994511,0.0002568077,0.00004871622,0.00004293824,0.0001392269,0.00006118722],"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":[0.001296972,0.00009000519,0.005164489,0.000222986,0.00004707969,0.0002028631,0.0002211122,0.003943907,0.4241513,0.0004140381,0.0009264183,0.5633188],"study_design_scores_gemma":[0.0001328875,0.001126053,0.2201118,0.0001410061,0.0002838339,0.001565597,0.0007779307,0.4248086,0.3399288,0.001852807,0.009133425,0.0001373034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6089374,0.001970938,0.3763312,0.000289164,0.0001990059,0.000214414,0.0005942787,0.001629656,0.009833976],"genre_scores_gemma":[0.9457409,0.0007018527,0.0458855,0.00004749609,0.0000660105,0.0001003695,0.0004735238,0.0001632243,0.006821084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004154923,"threshold_uncertainty_score":0.01389956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007666828647824123,"score_gpt":0.2117858624504799,"score_spread":0.2041190338026558,"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."}}