{"id":"W2060580294","doi":"10.1109/pacrim.2013.6625512","title":"The Wiikembe — performer designed lamellophone hyperinstrument for idiomatic musical-DSP interaction","year":2013,"lang":"en","type":"article","venue":"","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":"Gesture; Computer science; Interface (matter); Arduino; Digital signal processing; Guitar; Human–computer interaction; Musical instrument; Gesture recognition; Musical; Multimedia; Speech recognition; Embedded system; Computer hardware; Artificial intelligence; Acoustics","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":[0.0006187959,0.000735603,0.000346331,0.0005167993,0.000746795,0.00106128,0.0009083793,0.000870335,0.02617267],"category_scores_gemma":[0.0009586585,0.0003904501,0.0002851849,0.0002486904,0.0005988294,0.0009360772,0.001164003,0.0008029856,0.005885547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004629196,"about_ca_system_score_gemma":0.0005029447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477584,"about_ca_topic_score_gemma":0.004265086,"domain_scores_codex":[0.9997029,0.00003322456,0.00001072365,0.00006430106,0.0001296978,0.00005913368],"domain_scores_gemma":[0.9997687,0.00003014604,0.000008945852,0.00005107535,0.00008543305,0.00005575269],"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":[0.0007556852,0.0001897812,0.001719862,0.0004270652,0.00002571476,0.0007986081,0.001897696,0.001820536,0.443887,0.03231462,0.0229265,0.493237],"study_design_scores_gemma":[0.0001846405,0.001574603,0.009071661,0.0001757938,0.00005951179,0.002625937,0.0006122539,0.01714186,0.1303227,0.002860959,0.835253,0.0001170911],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1609158,0.0006667698,0.5948492,0.0008227899,0.0006965538,0.001581204,0.0007850065,0.01133647,0.2283463],"genre_scores_gemma":[0.3088436,0.0003934414,0.325744,0.0002841391,0.00008359811,0.0007605802,0.001118948,0.001042159,0.3617295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02617267,"threshold_uncertainty_score":0.0875563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272683389623938,"score_gpt":0.2479017976944289,"score_spread":0.2251749637981895,"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."}}