{"id":"W2605608263","doi":"10.1017/s1355771815000072","title":"Getting Out of the Black Box: analogising the use of computers in electronic music and sound art","year":2015,"lang":"en","type":"article","venue":"Organised Sound","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"New Interfaces for Musical Expression; Computer science; Musical; Electroacoustic music; Materiality (auditing); Computer music; Context (archaeology); Software; Performing arts; Musical composition; Creativity; Digital audio; Electronic music; Scholarship; The arts; Multimedia; Aesthetics; Visual arts; Art; History; Telecommunications; Psychology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00299409,0.0004805718,0.0002993231,0.003655349,0.004562407,0.01137693,0.001114807,0.002174324,0.004565713],"category_scores_gemma":[0.007489869,0.0002974277,0.0002856358,0.003439584,0.03704363,0.01368474,0.007065949,0.003358828,0.0003867497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00237899,"about_ca_system_score_gemma":0.001300876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601664,"about_ca_topic_score_gemma":0.003407914,"domain_scores_codex":[0.9966653,0.002066461,0.0001014697,0.0003219628,0.0006452852,0.0001995541],"domain_scores_gemma":[0.9927731,0.006071267,0.000241785,0.0005429893,0.0002159896,0.000154832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006904692,0.00006625161,0.002074998,0.0002857661,0.00001226094,0.0003908691,0.337336,0.0003864402,0.001779989,0.5884185,0.001395994,0.06778386],"study_design_scores_gemma":[0.00005238298,0.0002072098,0.005653023,0.001515692,0.00003862272,0.001183117,0.2747888,0.001199071,0.002416059,0.4827846,0.2300881,0.00007337642],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4578886,0.02313626,0.04618624,0.01746663,0.0005208891,0.00008670762,0.00004102752,0.0001390626,0.4545346],"genre_scores_gemma":[0.9819927,0.005535753,0.004983872,0.001197081,0.0001331042,0.00003589635,0.00001045564,0.00004353499,0.006067608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954376,"threshold_uncertainty_score":0.01726085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05291405938587235,"score_gpt":0.2425067547457072,"score_spread":0.1895926953598349,"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."}}