{"id":"W4383878324","doi":"10.3390/arts12040147","title":"Challenges and Opportunities of Force Feedback in Music","year":2023,"lang":"en","type":"article","venue":"Arts","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology; Society for Arts and Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Computer science; Firmware; Modularity (biology); Usability; Human–computer interaction; Software; Multimedia; Embedding; Musical; Simulation; Artificial intelligence; Computer hardware","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":[0.00002155118,0.00003395164,0.00005631175,0.00009042552,0.00002204806,0.000005240619,0.00003312049,0.0000142875,0.00003129479],"category_scores_gemma":[0.00007110121,0.00003244927,0.00001166772,0.00005234095,0.00003754351,0.0001153978,0.00002209366,0.00003832486,0.00003912617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002842207,"about_ca_system_score_gemma":0.000005351336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005825021,"about_ca_topic_score_gemma":0.0000752273,"domain_scores_codex":[0.9996756,0.00001806843,0.00007209474,0.00009743594,0.00005289151,0.00008385839],"domain_scores_gemma":[0.9997163,0.0001541411,0.00002129913,0.00008148771,0.00000595854,0.00002083556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004450321,0.0001318338,0.0003714362,0.0001135987,0.000006556247,0.0003068221,0.02464058,0.00005523732,0.6593075,0.0902239,0.003529805,0.2212682],"study_design_scores_gemma":[0.000928282,0.0002880537,0.08704751,0.0001916101,0.00001211847,0.000155701,0.02261764,0.001701297,0.7534275,0.01910966,0.1140969,0.0004237571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453838,0.00003362045,3.675964e-7,0.001422343,0.0001136176,0.00003688577,0.000002654797,0.00003061975,0.05297606],"genre_scores_gemma":[0.9944906,0.001620082,0.000001988854,0.00021278,0.00001318822,0.000004075511,3.752377e-7,0.000004035925,0.003652839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2208444,"threshold_uncertainty_score":0.1323243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3277285690006675,"score_gpt":0.3251178614782815,"score_spread":0.002610707522386069,"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."}}