{"id":"W2993288951","doi":"10.1145/3356590.3356620","title":"Toward Generating Realistic Sounds for Soft Bodies","year":2019,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Procedural modeling; Texture synthesis; Sound design; Sound (geography); Speech recognition; Human–computer interaction; Artificial intelligence; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.000151501,0.0000807593,0.0001310507,0.00003979499,0.0001650163,0.00006484659,0.0003802704,0.00005832585,0.00001962289],"category_scores_gemma":[0.00008162794,0.00006345873,0.00004511846,0.00005706794,0.00003755141,0.0001204959,0.0001932101,0.0000553194,0.0000521478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275047,"about_ca_system_score_gemma":0.00002043185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001833168,"about_ca_topic_score_gemma":0.00003365509,"domain_scores_codex":[0.9993572,0.000008985782,0.0001178203,0.000240351,0.00007449415,0.0002011811],"domain_scores_gemma":[0.9994515,0.0001402496,0.00003241141,0.0003066734,0.00005141169,0.0000177688],"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":[0.000001962841,0.00001160351,0.001044329,0.00002867907,0.00002776534,0.000002017272,0.001706731,0.00004294684,0.0002082448,0.9694653,0.01603458,0.01142586],"study_design_scores_gemma":[0.00132338,0.0005159531,0.001708746,0.00003413457,0.00002568832,0.00005973426,0.001152593,0.3491902,0.001176525,0.450597,0.1933169,0.0008990916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01748081,0.0001578278,0.9607496,0.002088259,0.000551281,0.0001612325,0.000001598122,0.0004111194,0.01839826],"genre_scores_gemma":[0.8656666,0.000006635496,0.1235112,0.001020055,0.00006909222,0.00003878508,0.000001453966,0.000004418011,0.009681739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8481858,"threshold_uncertainty_score":0.2587772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601877702666535,"score_gpt":0.2609021131866468,"score_spread":0.2248833361599815,"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."}}