{"id":"W2035670872","doi":"10.1121/1.4782782","title":"Creating systems for collaborative network-based digital music performance.","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Digital audio; Multimedia; Laptop; Improvisation; Computer music; Phone; The Internet; Human–computer interaction; Musical; Telecommunications; Audio signal; World Wide Web","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":[0.002737503,0.0008027217,0.0004203498,0.001026786,0.002443078,0.004593778,0.00210648,0.001637827,0.01548394],"category_scores_gemma":[0.004989409,0.0005298985,0.0008287154,0.0006823481,0.002367422,0.004785276,0.00862614,0.001232378,0.005560496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011146,"about_ca_system_score_gemma":0.001469779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254878,"about_ca_topic_score_gemma":0.00183933,"domain_scores_codex":[0.9980658,0.0006593342,0.0001180706,0.0003561921,0.0005861287,0.0002145671],"domain_scores_gemma":[0.9981821,0.0004319973,0.0001294053,0.000673014,0.0002481584,0.0003354172],"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":[0.0002880465,0.0006278069,0.004761947,0.001202522,0.000235572,0.001053547,0.01952463,0.02956733,0.04439981,0.3760684,0.04354243,0.4787279],"study_design_scores_gemma":[0.0002333557,0.0004544236,0.002248347,0.0003461787,0.0001640016,0.00103055,0.005538152,0.08912989,0.01989169,0.1559884,0.7248148,0.0001602933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03727176,0.000884407,0.8693138,0.001484035,0.0005870484,0.001068076,0.0001803107,0.006778055,0.08243249],"genre_scores_gemma":[0.302346,0.0008418495,0.6448386,0.0003612819,0.0001845078,0.001402811,0.0009919341,0.001059725,0.04797337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01548394,"threshold_uncertainty_score":0.05179894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958524389612974,"score_gpt":0.2285514883074814,"score_spread":0.2089662444113516,"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."}}