{"id":"W3210726206","doi":"10.82308/17421","title":"A consort of gestural musical controllers : design, construction, and performance","year":2008,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musical; Computer science; Speech recognition; Engineering; Communication; Visual arts; Psychology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00484969,0.000978227,0.000376394,0.001387265,0.001414576,0.004639892,0.002171264,0.001173089,0.01449686],"category_scores_gemma":[0.005690389,0.0006500258,0.0006107434,0.001073199,0.002684696,0.004946221,0.004697565,0.001420822,0.002925256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008016812,"about_ca_system_score_gemma":0.001546506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004046041,"about_ca_topic_score_gemma":0.0006702289,"domain_scores_codex":[0.9971952,0.0008666818,0.0001688777,0.0005184233,0.001076194,0.0001744989],"domain_scores_gemma":[0.9980146,0.0005887847,0.0001982093,0.0003870464,0.0003161358,0.000495317],"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":[0.0006867467,0.000605559,0.01150192,0.001210322,0.00008247254,0.0009400885,0.01951422,0.01087101,0.05793398,0.188305,0.0124514,0.6958973],"study_design_scores_gemma":[0.0006168416,0.00917822,0.01609625,0.00112421,0.0002535971,0.004137006,0.01892774,0.09368969,0.06390032,0.0579831,0.7337213,0.0003717348],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.157156,0.0008228623,0.757096,0.001031886,0.0004327501,0.001621638,0.0001736133,0.003041543,0.07862365],"genre_scores_gemma":[0.3573081,0.001106376,0.5961708,0.0002155433,0.0001466937,0.00193784,0.0003909277,0.0007177686,0.04200593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01449686,"threshold_uncertainty_score":0.04849684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338779460948307,"score_gpt":0.2047244723121763,"score_spread":0.1813366777026932,"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."}}