{"id":"W2045078073","doi":"10.1017/s1355771811000094","title":"Real-time Composition as Performance Ecosystem","year":2011,"lang":"en","type":"article","venue":"Organised Sound","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Composition (language); Computer science; Musical; Ecosystem; Extension (predicate logic); Control (management); Human–computer interaction; Artificial intelligence; Ecology; Programming language; Art; Visual arts; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001570797,0.0001268938,0.0001617684,0.00007260469,0.0003731149,0.00004820219,0.0005961299,0.0001032937,0.0002323356],"category_scores_gemma":[0.000008267852,0.0001167166,0.00003543361,0.0002371018,0.00006195701,0.0003008522,0.0001924774,0.0001078566,0.002144822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004681754,"about_ca_system_score_gemma":0.00003408291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001568466,"about_ca_topic_score_gemma":0.000005685482,"domain_scores_codex":[0.9991421,0.00003681086,0.0001642763,0.0002801703,0.0001381038,0.0002385644],"domain_scores_gemma":[0.9992963,0.0000292192,0.0000714795,0.0004985196,0.00005606817,0.00004841421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001003361,0.0005925145,0.02219174,0.0001649867,0.0003566095,0.0002058955,0.0518074,0.00000443399,0.05338057,0.8550891,0.009233636,0.006872801],"study_design_scores_gemma":[0.007121475,0.004172363,0.2453599,0.0004019022,0.0002609747,0.001935857,0.002063123,0.0151549,0.2399639,0.4521768,0.02598766,0.005401093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202458,0.00001853055,0.01068358,0.0001181284,0.000258633,0.0001117849,0.000001520645,0.0006290337,0.06793301],"genre_scores_gemma":[0.9900128,0.00002811234,0.009169017,0.0001092459,0.00003691802,0.000009908289,0.000001934103,0.00000926015,0.0006228483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4029122,"threshold_uncertainty_score":0.9986321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466351123071533,"score_gpt":0.205526465606823,"score_spread":0.1908629543761076,"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."}}