{"id":"W4252807056","doi":"10.21428/92fbeb44.c61b9546","title":"On Parallel Performance Practices: Some Observations on Personalizing DMIs as Percussionists","year":2021,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Personalization; Interactivity; Computer science; Arduino; Perspective (graphical); Human–computer interaction; Multimedia; Musical; Artificial intelligence; World Wide Web; Embedded system; Visual arts","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000148115,0.0001212223,0.0001256713,0.00005308932,0.0006940298,0.0001181362,0.0004052717,0.00008480025,0.0001120785],"category_scores_gemma":[0.0004179335,0.00009244046,0.00005162124,0.0002647776,0.00005194885,0.0005129603,0.000187172,0.0002459108,0.0003282475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004054012,"about_ca_system_score_gemma":0.0001184418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001953375,"about_ca_topic_score_gemma":0.00001594434,"domain_scores_codex":[0.9989609,0.00004592,0.0001344518,0.0003886728,0.0002505399,0.0002194863],"domain_scores_gemma":[0.999001,0.0002578067,0.0001022631,0.0005133033,0.00008029433,0.0000453491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006271583,0.0001086649,0.00090624,0.00001004599,0.00002425988,0.0000355802,0.001240109,0.00006290172,0.0001158705,0.9887308,0.005783514,0.002975751],"study_design_scores_gemma":[0.002420595,0.001819791,0.1455275,0.0005389141,0.00006084733,0.0003784217,0.005260793,0.07885086,0.003920524,0.2745648,0.4846601,0.001996917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519232,0.0002911919,0.009325563,0.05378318,0.0005733104,0.0001197648,0.000001093065,0.0005435977,0.08343913],"genre_scores_gemma":[0.9499239,0.0002324692,0.02037001,0.01143357,0.00005644268,0.00002935535,0.000002801266,0.000006047992,0.01794539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.714166,"threshold_uncertainty_score":0.5337986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07282351001432417,"score_gpt":0.2981444608419972,"score_spread":0.225320950827673,"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."}}