{"id":"W4231764799","doi":"10.1002/sam.11387","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Statistical Analysis and Data Mining The ASA Data Science Journal","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Université de Montréal","funders":"","keywords":"Computer science; Information retrieval; Citation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001426035,0.001649843,0.001585639,0.006106024,0.001260358,0.007965645,0.002035216,0.002535916,0.9169632],"category_scores_gemma":[0.00851714,0.000628905,0.001078396,0.00473976,0.0005429835,0.003241157,0.002625972,0.00187855,0.8996377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015303,"about_ca_system_score_gemma":0.00290036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365952,"about_ca_topic_score_gemma":0.003058327,"domain_scores_codex":[0.9987562,0.0001393595,0.0001007214,0.0001784072,0.0006917742,0.0001335674],"domain_scores_gemma":[0.9951003,0.0006331515,0.000234712,0.0004898531,0.002203274,0.001338753],"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":[0.00001728568,0.00002849582,0.00004699452,0.0001864659,0.000002265002,0.00001732362,0.000006424985,0.0000318577,0.0001303429,0.0009515048,0.9478943,0.05068661],"study_design_scores_gemma":[0.00001648076,0.00001736562,0.0002098703,0.000109262,0.000002595503,0.0000254837,0.00001798091,0.00005588763,0.00007514352,0.001324674,0.9981395,0.000005741392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003050903,0.001545638,0.001936404,0.004677926,0.01925343,0.0005945251,0.02385945,0.003412648,0.9444149],"genre_scores_gemma":[0.000570885,0.0008376102,0.0006725755,0.001476662,0.002132059,0.0001494651,0.008793686,0.0006636638,0.9847035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08303678,"threshold_uncertainty_score":0.1184418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07162451266438453,"score_gpt":0.3683286561938265,"score_spread":0.296704143529442,"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."}}