{"id":"W4381516555","doi":"10.1007/978-3-031-35382-6_13","title":"Interaction Strategies in Composition for Karlax and Acoustic Instruments","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Computer science; Composition (language); Musical composition; Context (archaeology); Musical; Adaptability; Metaphor; Musical instrument; Human–computer interaction; Process (computing); Guitar; Linguistics; Acoustics; Visual arts; Art; Literature; History","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004066454,0.0002770816,0.0003374312,0.0008013519,0.0002287839,0.00033531,0.000861339,0.0002607123,0.000001419772],"category_scores_gemma":[0.00004214369,0.0002631203,0.00004410808,0.000344056,0.0004770058,0.0006175006,0.0007029608,0.0004822954,0.000006473819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651531,"about_ca_system_score_gemma":0.0001470538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002072326,"about_ca_topic_score_gemma":0.0004237605,"domain_scores_codex":[0.9981788,0.00001483068,0.0003180281,0.0008542755,0.0002723509,0.0003617216],"domain_scores_gemma":[0.9989274,0.0003972054,0.0001402112,0.0004124771,0.00008272746,0.0000399834],"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":[0.00002060954,0.00003923951,0.000233466,0.0001544774,0.00002837755,0.00005244399,0.002894853,0.01629288,0.0004242616,0.1980068,0.00003616124,0.7818164],"study_design_scores_gemma":[0.0004055707,0.0002179986,0.001105177,0.0004536845,0.000007178892,0.00003700758,0.000004688666,0.3695538,0.0001721831,0.6274426,0.0002225795,0.0003775687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003398366,0.00009462469,0.9929571,0.0006345323,0.001603002,0.0003830129,0.000004417045,0.0001827843,0.0007421467],"genre_scores_gemma":[0.9285385,0.00008189766,0.0707935,0.0002951568,0.0001165322,0.00003454297,0.000005519043,0.00001641578,0.0001179296],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9251401,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201139318340136,"score_gpt":0.2681940835793491,"score_spread":0.2461826903959477,"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."}}