{"id":"W2398764169","doi":"10.1162/comj_a_00357","title":"User-Driven Techniques for the Design and Evaluation of New Musical Interfaces","year":2016,"lang":"en","type":"article","venue":"Computer Music Journal","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Computer science; Human–computer interaction; Surprise; Task (project management); Context (archaeology); Set (abstract data type); Field (mathematics); User interface; Musical; Creativity; User experience design; Multimedia; Systems engineering; Engineering","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":[0.1384273,0.003415914,0.002115557,0.007039099,0.001845724,0.008776901,0.004272785,0.002888563,0.007428689],"category_scores_gemma":[0.2040302,0.0019222,0.00266233,0.003993283,0.006289568,0.006348191,0.00611921,0.004270847,0.001644399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003844691,"about_ca_system_score_gemma":0.004887119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411728,"about_ca_topic_score_gemma":0.001949328,"domain_scores_codex":[0.7743101,0.1835596,0.01039808,0.005179252,0.02567478,0.0008782143],"domain_scores_gemma":[0.8114378,0.1478167,0.007752221,0.01555782,0.01653758,0.000897835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00125035,0.0009864111,0.00355565,0.01120877,0.0009589352,0.0004437318,0.01703841,0.02886003,0.0189292,0.2442464,0.006563979,0.6659582],"study_design_scores_gemma":[0.003047775,0.005525609,0.008338492,0.009930827,0.00138043,0.001116604,0.01078035,0.2258,0.04556602,0.462519,0.2250188,0.0009760369],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002804767,0.0009065152,0.9876407,0.0003234509,0.00009588429,0.003880021,0.0001257468,0.0005753874,0.003647585],"genre_scores_gemma":[0.02317002,0.0004474478,0.9694401,0.0001208394,0.00003112928,0.006088497,0.00008525045,0.0001432379,0.0004733799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1384273,"threshold_uncertainty_score":0.7320825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08926574756020769,"score_gpt":0.309153040464798,"score_spread":0.2198872929045903,"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."}}