{"id":"W1677974710","doi":"10.5204/mcj.739","title":"Augmentation and Improvisation","year":2013,"lang":"en","type":"article","venue":"M/C Journal","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Improvisation; Conversation; Multimedia; MIDI; Computer science; Interface (matter); Visual arts; Digital audio; Art; Sociology; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060904,0.00002870579,0.00003391637,0.00003892282,0.0001820477,0.0001233331,0.00009642386,0.00002160945,0.00002490406],"category_scores_gemma":[0.00001391688,0.00002211365,0.000008841758,0.00004272631,0.00002301735,0.0003897577,0.00004298039,0.00008149783,0.00002694866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001171959,"about_ca_system_score_gemma":0.000009021462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008365239,"about_ca_topic_score_gemma":0.000002071023,"domain_scores_codex":[0.9997289,0.00001273064,0.00006736501,0.00005573822,0.00005642737,0.00007885035],"domain_scores_gemma":[0.9998395,0.00001226095,0.00003628474,0.00005610487,0.00003186734,0.00002393186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001568942,0.00002014044,0.0082701,0.000004185304,0.00002574847,0.0000056349,0.004122037,0.000002283318,0.003361416,0.06671298,0.01706604,0.9004079],"study_design_scores_gemma":[0.001169944,0.0003408007,0.4516927,0.00001829919,0.00001105952,0.0007371041,0.0009930293,0.015604,0.001378696,0.510897,0.0168801,0.0002772345],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6579773,0.000148511,0.3341554,0.006183284,0.000279192,0.00004618865,4.893209e-8,0.00004757144,0.001162521],"genre_scores_gemma":[0.9879256,0.00003494445,0.01147167,0.000332315,0.00004250402,0.000003377855,6.726286e-8,9.113989e-7,0.000188627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9001306,"threshold_uncertainty_score":0.1400183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00871126895098204,"score_gpt":0.214959580898272,"score_spread":0.20624831194729,"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."}}