{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000706625,0.000527743,0.000479784,0.0003404476,0.0002302104,0.0003244806,0.0004127822,0.001151117,0.006422524],"category_scores_gemma":[0.0003722795,0.0006135193,0.0002155067,0.0002335915,0.00004931674,0.0002219289,0.00005177614,0.001154331,0.02426011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006078503,"about_ca_system_score_gemma":0.0001455659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003079258,"about_ca_topic_score_gemma":0.00001255259,"domain_scores_codex":[0.9964619,0.000118495,0.0009989965,0.0004633011,0.001500035,0.0004572577],"domain_scores_gemma":[0.9983537,0.0005387473,0.0002120163,0.000406636,0.0003492707,0.0001395889],"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":[0.000005750703,0.00001970023,0.000001245242,0.0001293625,0.00004753246,0.000001392565,0.0006715032,0.06844148,0.00005671277,8.190437e-7,0.9150472,0.01557736],"study_design_scores_gemma":[0.0001791526,0.00002617149,0.00001255801,0.0002228172,0.00004308108,8.671126e-7,0.00002530253,0.1649548,0.0000842926,0.00004188801,0.833922,0.0004870352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004807588,0.0001223479,0.01214525,0.00001002656,0.980171,0.0003179655,0.00005210737,0.003045598,0.003654968],"genre_scores_gemma":[0.001080929,0.0001311516,0.0002827187,0.0000143238,0.9958177,0.00001787762,0.001491157,0.0001515505,0.00101263],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09651332,"threshold_uncertainty_score":0.9996316,"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."}}