{"id":"W2981567233","doi":"10.1145/3359566.3360068","title":"Procedural Sound Generation for Soft Bodies in Video Games","year":2019,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Rope; Frame (networking); Motion (physics); Sound (geography); Computer vision; Computer graphics (images); Artificial intelligence; Acoustics; Algorithm; Telecommunications","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":[0.0001210699,0.00006526965,0.0001021968,0.00006464156,0.00006815392,0.00004479309,0.0002233266,0.0000538471,0.00001095983],"category_scores_gemma":[0.00005105155,0.00005141828,0.00002555354,0.0000713626,0.00002816546,0.000237198,0.00009070247,0.00004651904,0.00003372597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001552817,"about_ca_system_score_gemma":0.0000203894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009077488,"about_ca_topic_score_gemma":0.000363202,"domain_scores_codex":[0.999454,0.000007287312,0.0001088233,0.0002175783,0.0000582805,0.000153997],"domain_scores_gemma":[0.9996912,0.00005221693,0.00002400737,0.0001881687,0.00003492012,0.000009472931],"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":[0.000009220387,0.00005799605,0.03441893,0.00005335327,0.00002802085,0.000001318544,0.005140298,0.00008047275,0.00186593,0.9060099,0.03468784,0.01764674],"study_design_scores_gemma":[0.002481435,0.000547789,0.0284869,0.00003786678,0.00001060295,0.00002159846,0.001197714,0.344972,0.006532277,0.5429977,0.07180522,0.0009088771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6250806,0.000245887,0.3656937,0.004493228,0.0004475824,0.000380297,5.980516e-7,0.0002347904,0.00342329],"genre_scores_gemma":[0.9789703,0.000005648665,0.01675089,0.0008194399,0.00003774598,0.00006742263,9.290857e-7,0.000002352433,0.003345297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3630122,"threshold_uncertainty_score":0.2096777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379057126076203,"score_gpt":0.2558937769181108,"score_spread":0.2321032056573487,"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."}}