{"id":"W155067038","doi":"","title":"Everyday sounds: synthesis parameters and perceptual correlates","year":2001,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Perception; Space (punctuation); Parametric statistics; Sound (geography); Computer science; Representation (politics); Acoustics; Speech recognition; Mathematics; Psychology; Physics","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":[0.0001178913,0.00008534836,0.00009642052,0.00006150637,0.0001250237,0.0002171169,0.0002430553,0.00003757759,0.0001315579],"category_scores_gemma":[0.00005203366,0.00006651592,0.0000251459,0.0001941765,0.0000649818,0.0004353923,0.0001082091,0.00005793795,0.0000708834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001002143,"about_ca_system_score_gemma":0.00001933888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000174786,"about_ca_topic_score_gemma":0.000002638064,"domain_scores_codex":[0.9993382,0.00002078362,0.00009892758,0.0002438724,0.0001148996,0.0001833521],"domain_scores_gemma":[0.9995272,0.0001794283,0.00002852954,0.0001781819,0.00001814144,0.00006849527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008548769,0.00007028579,0.02405283,0.00002289168,0.00003631234,0.00005106896,0.004229743,0.00008727684,0.0007666424,0.02142959,0.01446086,0.9347839],"study_design_scores_gemma":[0.002187925,0.0005161981,0.08990353,0.0006163222,0.0001659672,0.002320333,0.006026947,0.6645418,0.01451493,0.0691698,0.1456546,0.004381568],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.474301,0.0001716635,0.4954317,0.001624247,0.000163854,0.0000443716,1.992366e-7,0.0001897363,0.02807324],"genre_scores_gemma":[0.9589461,0.00004578817,0.03712155,0.001614809,0.0000208387,0.000004367299,1.316294e-7,0.000004319144,0.002242116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9304024,"threshold_uncertainty_score":0.271244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925996985975267,"score_gpt":0.2186112004233785,"score_spread":0.1993512305636259,"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."}}