{"id":"W4240537301","doi":"10.1002/etep.2272","title":"Issue Information","year":2017,"lang":"en","type":"paratext","venue":"International Transactions on Electrical Energy Systems","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Data 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":[0.0001252598,0.000337959,0.0003191798,0.000657293,0.0002215414,0.0004164496,0.000497808,0.0005003812,0.03795513],"category_scores_gemma":[0.00001453397,0.0003533006,0.0001870518,0.0001101077,0.00003263487,0.0005626742,0.000002391604,0.0005293802,0.118329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118751,"about_ca_system_score_gemma":0.00007354919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004882784,"about_ca_topic_score_gemma":0.00001319298,"domain_scores_codex":[0.9981737,0.0000598451,0.0005564819,0.0002186318,0.0007302037,0.000261127],"domain_scores_gemma":[0.9990583,0.00005469334,0.0001715681,0.0003743347,0.0002247246,0.0001163713],"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":[0.00001558532,0.00002404399,4.824201e-8,0.00002808229,0.0001438353,6.570706e-7,0.00003098624,0.4116558,0.000009800203,0.00002199423,0.5599475,0.02812169],"study_design_scores_gemma":[0.0002068608,0.00003345139,0.000004734672,0.00007479157,0.00001772851,0.000008956337,0.000006832965,0.3274559,0.00004977929,0.00001018075,0.6718965,0.0002343015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000004239365,0.0002459989,0.4786846,0.0001365027,0.04687074,0.0001698042,0.0002663379,0.000282788,0.473339],"genre_scores_gemma":[0.134696,0.002544135,0.000050303,0.0002669166,0.005189162,0.0004653057,0.001724114,0.000108951,0.8549551],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4786343,"threshold_uncertainty_score":0.9998919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637538907592058,"score_gpt":0.2658659995948716,"score_spread":0.249490610518951,"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."}}