{"id":"W4254108049","doi":"10.1080/10798587.2000.10642785","title":"Guest Editorial","year":2000,"lang":"en","type":"editorial","venue":"Intelligent Automation & Soft Computing","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003693037,0.0023322,0.002367273,0.003203383,0.002069465,0.00568312,0.001990057,0.009863254,0.05380591],"category_scores_gemma":[0.01517657,0.000824899,0.001413538,0.0009262657,0.001183103,0.002503251,0.001949791,0.008599776,0.03557882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794079,"about_ca_system_score_gemma":0.001962762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008113756,"about_ca_topic_score_gemma":0.002143213,"domain_scores_codex":[0.9974926,0.0003913879,0.00022972,0.0003634102,0.001223707,0.0002991814],"domain_scores_gemma":[0.9905456,0.001739784,0.0007762018,0.0004478357,0.003881541,0.002608963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002563605,0.000007307534,0.00001715023,0.00007203074,0.000006853228,0.0001276278,0.000003978349,0.000008921773,0.00004278834,0.0001191367,0.9935789,0.005989467],"study_design_scores_gemma":[0.0000425195,0.00001824245,0.0001595051,0.0001307112,0.0000229194,0.0002529789,0.00001518812,0.00004750179,0.00008435448,0.0003684446,0.9988489,0.000008598448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008489338,0.004315481,0.0001230946,0.02517136,0.961297,0.00003841523,0.00007048219,0.00008831944,0.008810997],"genre_scores_gemma":[0.001084632,0.003958501,0.000161708,0.02660564,0.9006605,0.00005183142,0.0001093174,0.00008262449,0.0672852],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9461941,"threshold_uncertainty_score":0.1799988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392077349716167,"score_gpt":0.2746691077001061,"score_spread":0.2607483342029444,"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."}}