{"id":"W2767226973","doi":"","title":"Tuning to Trust: System Calibration as Creative Enabler","year":2017,"lang":"en","type":"article","venue":"University of Huddersfield Repository (University of Huddersfield)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Council for the Arts; Centre for Interdisciplinary Research in Music Media and Technology","keywords":"Enabling; Software portability; Adaptability; Computer science; Set (abstract data type); Calibration; Field (mathematics); Quality (philosophy); Human–computer interaction; Multimedia; Psychology; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001705388,0.0001849147,0.000408613,0.000224965,0.00207684,0.00005564303,0.001973806,0.0003123556,0.001323755],"category_scores_gemma":[0.0000573352,0.0002386603,0.0001983508,0.0001577623,0.0004617164,0.0009188656,0.0008799575,0.0002611232,0.00001515853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003277378,"about_ca_system_score_gemma":0.0001335466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003747322,"about_ca_topic_score_gemma":0.0002706068,"domain_scores_codex":[0.9987034,0.00008994244,0.0001572894,0.0004837963,0.0002900722,0.0002754817],"domain_scores_gemma":[0.9980031,0.00009642789,0.0004177178,0.001128856,0.0002211805,0.000132705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000457458,0.0002608471,0.006297371,0.0003383249,0.0008835364,0.001458616,0.07038836,0.0002509237,0.008456221,0.1456376,0.7608312,0.004739495],"study_design_scores_gemma":[0.001147437,0.0004280854,0.0007750003,0.0002128688,0.0001242233,0.00004349375,0.9877372,0.003856615,0.003518038,0.0004719011,0.001274942,0.0004102073],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03753471,0.0001002239,0.1885305,0.002838398,0.0005425785,0.0002875492,0.000004071246,0.0002236267,0.7699383],"genre_scores_gemma":[0.9842674,0.0000307243,0.007857843,0.00004800537,0.00002721221,7.792854e-8,9.066554e-7,0.000005286947,0.007762524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9467327,"threshold_uncertainty_score":0.9995891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181074717197522,"score_gpt":0.1862216435375048,"score_spread":0.1744108963655296,"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."}}