{"id":"W4245325236","doi":"10.1002/sam.11362","title":"Issue Information","year":2018,"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":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Université de Montréal","funders":"","keywords":"Computer science; Information retrieval; Citation; Data science; World Wide Web","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004635337,0.0001965586,0.0003203154,0.0005173777,0.000883456,0.001950717,0.003208255,0.00008216043,0.05649981],"category_scores_gemma":[0.0007409742,0.0001286768,0.00002637339,0.0009864349,0.0007607398,0.003784603,0.001149342,0.0004404324,0.01557525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006262758,"about_ca_system_score_gemma":0.000201332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009360851,"about_ca_topic_score_gemma":0.00005326123,"domain_scores_codex":[0.9976816,0.00007872543,0.0005798048,0.0003812776,0.0009517169,0.0003269061],"domain_scores_gemma":[0.9973494,0.0001523806,0.0002072328,0.001874884,0.0001941811,0.0002219381],"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":[0.000002788105,0.000003638989,0.00001633992,0.00001483992,0.0001567548,6.01102e-7,0.0002887113,0.0003739985,0.000009104084,0.000005413903,0.9611536,0.03797421],"study_design_scores_gemma":[0.00006017499,0.00001616971,0.002011712,0.00002179505,0.0005986734,0.00001535431,0.0004228699,0.4475783,7.026019e-7,0.00002151576,0.5491084,0.000144214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001201034,0.0003013072,0.9564448,0.0003891815,0.005450423,0.0001382562,0.02361378,0.00004305546,0.01241817],"genre_scores_gemma":[0.04737784,0.02559553,0.4506448,0.003207855,0.03482186,0.00002586494,0.4084181,0.0001980355,0.02971014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5058,"threshold_uncertainty_score":0.9990854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07753281751408107,"score_gpt":0.3766135914705343,"score_spread":0.2990807739564532,"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."}}