{"id":"W57666144","doi":"","title":"Advantages and Limitations of Simulating Percussion Gestures for Sound Synthesis","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Percussion; Computer science; Gesture; Human–computer interaction; Software; Point (geometry); Motion capture; Motion (physics); Sound (geography); Movement (music); Artificial intelligence; Acoustics; Programming language","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":[0.001556058,0.0009934765,0.0007476442,0.000460413,0.0004757802,0.002709996,0.001332197,0.0019903,0.007904905],"category_scores_gemma":[0.01393566,0.0006227707,0.000618839,0.0003892337,0.0008073277,0.001367263,0.001950595,0.0006457065,0.001504617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593834,"about_ca_system_score_gemma":0.0006735025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222023,"about_ca_topic_score_gemma":0.001579188,"domain_scores_codex":[0.998199,0.0006190842,0.0001427382,0.0001891191,0.0007183969,0.0001315875],"domain_scores_gemma":[0.9927408,0.005493415,0.0001670605,0.0007276898,0.0006479992,0.0002229665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004926953,0.0002097689,0.004158022,0.001681066,0.0001714633,0.0006482415,0.001423439,0.115968,0.5468175,0.005126837,0.001104851,0.3177638],"study_design_scores_gemma":[0.0003994951,0.002300046,0.004402413,0.0003765882,0.0005039242,0.001892776,0.0006467618,0.6272725,0.3343349,0.005299242,0.02236942,0.0002018854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3269401,0.001987782,0.6470941,0.0006959487,0.0003614639,0.0003460295,0.0004580226,0.004414553,0.01770204],"genre_scores_gemma":[0.8949539,0.0007400457,0.1002884,0.0001176962,0.00006122269,0.0001359967,0.0002272032,0.0003000493,0.00317541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007904905,"threshold_uncertainty_score":0.02644455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141562425087478,"score_gpt":0.2591750439479548,"score_spread":0.22775941969708,"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."}}