{"id":"W2945263634","doi":"10.1080/09298215.2019.1612924","title":"A framework for computer-assisted sound design systems supported by modelling affective and perceptual properties of soundscape","year":2019,"lang":"en","type":"article","venue":"Journal of New Music Research","topic":"Music and Audio Processing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Soundscape; Computer science; Metaphor; Perception; Human–computer interaction; Sound design; Segmentation; Sound (geography); Artificial intelligence; Acoustics; Psychology; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.002669294,0.0001500289,0.0004616103,0.0003173206,0.0001855115,0.0005052834,0.0006881207,0.0001287072,0.00001117438],"category_scores_gemma":[0.0001205004,0.0001111022,0.00009907565,0.000454222,0.0001291229,0.0006369441,0.0001828324,0.0005277144,0.000003323514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008021673,"about_ca_system_score_gemma":0.0006153682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003810597,"about_ca_topic_score_gemma":6.757133e-7,"domain_scores_codex":[0.9974617,0.0003374121,0.0005303903,0.0003030224,0.0009413107,0.0004261404],"domain_scores_gemma":[0.997375,0.0008099213,0.0003917692,0.0002710163,0.0009504062,0.0002019323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003206475,0.001835271,0.002987656,0.006187766,0.001620114,0.0001236022,0.1337361,0.1394954,0.3476807,0.02170964,0.1382731,0.2031442],"study_design_scores_gemma":[0.001377493,0.001886156,0.00009696796,0.001394076,0.00002052231,0.0002081488,0.001577684,0.9786533,0.002665573,0.01138484,0.0005067508,0.000228469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3450479,0.001138398,0.6529312,0.0002388726,0.0002438483,0.0003643101,8.451973e-7,0.000008825728,0.00002584797],"genre_scores_gemma":[0.8771172,0.00002741314,0.1222913,0.00005536727,0.0003040728,0.000005449088,3.296055e-7,0.00001596959,0.0001829293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8391579,"threshold_uncertainty_score":0.4872459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2570210652090538,"score_gpt":0.3579045347272268,"score_spread":0.100883469518173,"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."}}