{"id":"W2403439078","doi":"10.5281/zenodo.1418242","title":"Strike-A-Tune: Fuzzy Music Navigation Using A Drum Interface.","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Interface (matter); Computer science; Visualization; Fuzzy logic; Sonification; Navigation system; Preference; Human–computer interaction; Drum; User interface; Multimedia; Artificial intelligence; Engineering; Programming language; Mathematics","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":[0.0002519277,0.0004268423,0.0005217462,0.000381299,0.0003371358,0.0007230076,0.001315088,0.001072703,0.02332116],"category_scores_gemma":[0.0009029588,0.0001912286,0.0002364898,0.0003821316,0.000230282,0.0006868476,0.0007537269,0.000433336,0.004709418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167393,"about_ca_system_score_gemma":0.0002079509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002667759,"about_ca_topic_score_gemma":0.004201175,"domain_scores_codex":[0.999884,0.00001473833,0.000008246981,0.00002501424,0.00005363908,0.00001436088],"domain_scores_gemma":[0.999866,0.00004235495,0.000004378674,0.00002359313,0.00004029211,0.00002328384],"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":[0.003184169,0.0001936626,0.0007164582,0.0003868002,0.00007754726,0.0006457371,0.0002491666,0.009742299,0.1479122,0.009789854,0.04672256,0.7803795],"study_design_scores_gemma":[0.0005693773,0.0007596387,0.002281755,0.000106016,0.0001475946,0.00115707,0.0002708752,0.7819083,0.1227619,0.01032507,0.07959337,0.0001190621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02632684,0.0005977891,0.9308213,0.0001704775,0.0004838334,0.0001426223,0.0006145341,0.02405187,0.01679072],"genre_scores_gemma":[0.3513947,0.0005286537,0.6072797,0.0003303859,0.0001350119,0.0001828428,0.001296459,0.0008659442,0.03798628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02332116,"threshold_uncertainty_score":0.078017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05287104908026288,"score_gpt":0.2754967170870161,"score_spread":0.2226256680067532,"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."}}