{"id":"W4386074648","doi":"10.11159/mhci23.001","title":"Blending the Physical and the Virtual: Multi-Modal Human-Computer Interaction for Music","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Modal; Computer science; Human–computer interaction; Computer music; Multimedia; Computer graphics (images); Visual arts; Musical; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007214944,0.0006157879,0.0003587434,0.0006274233,0.001080628,0.003739596,0.0006657198,0.001470842,0.01227009],"category_scores_gemma":[0.001465795,0.0002654747,0.0004905825,0.0003494516,0.002313243,0.003755157,0.004041449,0.001086865,0.00165896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003724287,"about_ca_system_score_gemma":0.0003072763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005723175,"about_ca_topic_score_gemma":0.001159129,"domain_scores_codex":[0.9992959,0.0002413956,0.00002395057,0.00009602858,0.0002770963,0.00006552335],"domain_scores_gemma":[0.9997111,0.0001458377,0.00001800011,0.0000364033,0.00003013746,0.00005852471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004442098,0.0001252004,0.001083602,0.001517683,0.000151045,0.0006775987,0.009046897,0.005402332,0.1161733,0.1939715,0.03516895,0.6362378],"study_design_scores_gemma":[0.00007484215,0.0006124515,0.004010117,0.0009364387,0.0001201575,0.003789038,0.004744634,0.04360925,0.02012289,0.2347775,0.6869403,0.0002624493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03260468,0.0265175,0.8413019,0.008974958,0.001606894,0.000196425,0.000112232,0.003382235,0.08530318],"genre_scores_gemma":[0.598997,0.01316238,0.3450959,0.002783113,0.0008822457,0.0004077189,0.0001548725,0.0004254016,0.03809135],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01227009,"threshold_uncertainty_score":0.04104757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633423589301708,"score_gpt":0.2468484863496625,"score_spread":0.2305142504566454,"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."}}