{"id":"W1993173060","doi":"10.1145/1101530.1101555","title":"From physics to sound","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sound (geography); Musical; Acoustics; Noise (video); Sound production; Computer science; Physics; Visual arts; Art; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005798826,0.0001251955,0.0001168708,0.00007374235,0.0003192956,0.00005066847,0.0005496939,0.00009949246,0.0001898638],"category_scores_gemma":[0.000003372928,0.0001243588,0.00005281914,0.0002623953,0.00004076989,0.0001559525,0.00001854355,0.0001964972,0.001788171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007695302,"about_ca_system_score_gemma":0.000009514339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002488253,"about_ca_topic_score_gemma":0.0000788665,"domain_scores_codex":[0.9991712,0.00001177189,0.00012619,0.0003582686,0.0001529257,0.0001796609],"domain_scores_gemma":[0.9991017,0.00005275395,0.00002231817,0.0007517664,0.00002051779,0.00005097],"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":[0.00001494391,0.0001365837,0.000007635174,0.000001398104,0.00002616772,3.278892e-7,0.007975281,0.001931472,0.005084671,0.008496605,0.0009484317,0.9753765],"study_design_scores_gemma":[0.003277485,0.0005752915,0.02628328,0.00004961467,0.0001519246,0.00001420462,0.006083293,0.0170559,0.01523602,0.7437844,0.185084,0.002404575],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1303448,0.000003559152,0.8634013,0.003676107,0.0001683793,0.0001325294,0.000006270327,0.00040145,0.001865608],"genre_scores_gemma":[0.8630626,0.00001007767,0.1348892,0.001552496,0.0001776214,0.00007849824,0.000002950761,0.000006743142,0.0002198864],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9729719,"threshold_uncertainty_score":0.998989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424399699543033,"score_gpt":0.2615630394585613,"score_spread":0.237319042463131,"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."}}