{"id":"W2288495448","doi":"10.82308/13744","title":"Force-feedback hand controllers for musical interaction","year":2007,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Computer science; Human–computer interaction; Software; Simple (philosophy); Protocol (science); Domain (mathematical analysis); Multimedia; Simulation; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001961563,0.0005478431,0.0002631922,0.0002657986,0.0003744417,0.000909085,0.0007446134,0.0006592275,0.02210074],"category_scores_gemma":[0.0005922983,0.0001443561,0.0001932756,0.0001513311,0.0003346466,0.0007796736,0.0005171041,0.0005534458,0.003047009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024423,"about_ca_system_score_gemma":0.0002621771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101626,"about_ca_topic_score_gemma":0.00118029,"domain_scores_codex":[0.9998073,0.00001716727,0.00000864561,0.00003132405,0.0001140487,0.00002150455],"domain_scores_gemma":[0.9998795,0.00005080506,0.00001234257,0.00001680478,0.00003121058,0.000009313391],"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":[0.0003332036,0.0001972993,0.0002451597,0.0006850492,0.00003061279,0.000361004,0.0006535897,0.02127498,0.203496,0.07257383,0.01523187,0.6849174],"study_design_scores_gemma":[0.0003230336,0.001063291,0.00288835,0.0005064643,0.00009098936,0.001265992,0.0003668141,0.2999047,0.1506869,0.04810447,0.4946517,0.0001472963],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03729331,0.01102431,0.8332314,0.0006348145,0.0007567605,0.0003398426,0.0002056942,0.006689789,0.1098241],"genre_scores_gemma":[0.6105559,0.007138094,0.2232758,0.0004512021,0.0003106347,0.0004454817,0.0004091999,0.0003668019,0.1570469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02210074,"threshold_uncertainty_score":0.07393438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059082621129098,"score_gpt":0.2759076935098784,"score_spread":0.2553168672985874,"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."}}