{"id":"W4413141552","doi":"10.1080/09298215.2025.2540433","title":"User experience with digital musical instruments: a transferable method for longitudinal evaluation","year":2024,"lang":"en","type":"article","venue":"Journal of New Music Research","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Computer science; Musical; Human–computer interaction; Multimedia; Information retrieval; Visual arts; Art","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":[0.002954493,0.0001178751,0.0002316464,0.0004410258,0.0002509962,0.0006375326,0.0007879363,0.00008289699,0.00005561939],"category_scores_gemma":[0.0003597484,0.00007811248,0.0001104912,0.0009310371,0.0001541021,0.001350258,0.0001287307,0.0005694244,0.000007462795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421833,"about_ca_system_score_gemma":0.0007806271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001538623,"about_ca_topic_score_gemma":0.00002031049,"domain_scores_codex":[0.9974857,0.0001274919,0.0003397167,0.0003401253,0.001318496,0.0003884933],"domain_scores_gemma":[0.9983367,0.0005071613,0.00004857611,0.0002969595,0.0006823651,0.0001282504],"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":[0.0002815081,0.0001869866,0.0009136026,0.00008400071,0.0003300349,0.000181001,0.0199667,0.00006843036,0.0009046716,0.06896316,0.03584601,0.8722739],"study_design_scores_gemma":[0.007481829,0.009380505,0.009735066,0.001373422,0.0001718951,0.003113378,0.005964977,0.1899822,0.003056271,0.3189791,0.4498241,0.0009372915],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3066816,0.0004634924,0.6869708,0.004230786,0.0004237768,0.000304411,0.000001573012,0.00003627227,0.00088733],"genre_scores_gemma":[0.9480172,0.0000278674,0.05069372,0.0000667838,0.0003359331,0.00004216706,4.93039e-7,0.00001010797,0.0008057607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8713366,"threshold_uncertainty_score":0.6147742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1958611697627187,"score_gpt":0.4479937592894592,"score_spread":0.2521325895267404,"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."}}