{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002260316,0.0002143512,0.0003493421,0.0001797906,0.000477253,0.0001725528,0.0009960025,0.0002540757,0.000002664975],"category_scores_gemma":[0.005499803,0.0002019689,0.0001288533,0.0001733395,0.0002315968,0.0001337112,0.0011731,0.0002987339,9.654134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002771035,"about_ca_system_score_gemma":0.00007591076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005627191,"about_ca_topic_score_gemma":0.0003082101,"domain_scores_codex":[0.9976046,0.001058053,0.0003753108,0.0005599766,0.0001903101,0.0002117262],"domain_scores_gemma":[0.9903157,0.007096355,0.0003836496,0.001219931,0.0009280946,0.00005629783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000686996,0.0002915641,0.001331354,0.0002368331,0.0001057075,0.000001485035,0.03075924,0.0002479128,0.00106736,0.519388,0.000505353,0.4460583],"study_design_scores_gemma":[0.001051406,0.00000469257,0.03902924,0.004604752,0.0002389401,0.00002056655,0.001732516,0.1568733,0.02971227,0.7487465,0.01656114,0.001424639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1092262,0.002197402,0.867232,0.01275004,0.0001215286,0.0004266546,0.0000245752,0.0002612584,0.00776027],"genre_scores_gemma":[0.7440578,0.0008616173,0.2545412,0.0000461788,0.000007988634,0.00005439225,0.00001711009,0.000009598119,0.0004041503],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6348315,"threshold_uncertainty_score":0.8236054,"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."}}