{"id":"W4244656168","doi":"10.1109/edocw.2019.00004","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Table (database); Computer science; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001164755,0.00002298291,0.0000914996,0.00004525819,0.000008213608,0.00003411811,0.0003799067,0.000009668846,0.008689079],"category_scores_gemma":[0.000289991,0.00001418171,0.00002205357,0.0001777274,0.00001501484,0.0001923693,0.0001507403,0.00001313764,0.004759603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001847081,"about_ca_system_score_gemma":0.000005301733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240882,"about_ca_topic_score_gemma":0.00002133778,"domain_scores_codex":[0.9990813,0.0000300061,0.000208174,0.0001194933,0.0004992241,0.00006187378],"domain_scores_gemma":[0.999284,0.0001662106,0.00005958655,0.0003989522,0.00007190468,0.00001930943],"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":[0.000017132,0.00008340675,0.02626364,0.000007909784,0.00001449663,5.984668e-7,0.0001115306,0.00002383774,0.001640452,0.4629409,0.4788997,0.0299964],"study_design_scores_gemma":[0.0002458277,0.00003527428,0.01150368,0.000003095173,0.000001645218,1.29114e-7,0.001334404,0.0002724486,0.00234337,0.01880484,0.9654149,0.00004035184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1818513,0.00001425507,0.00681695,0.0009000661,0.0003773615,0.0001374148,0.00001751,0.00001309086,0.809872],"genre_scores_gemma":[0.8287336,0.000001477994,0.0003945811,0.000565696,0.000003340838,5.393391e-7,0.000001516267,8.04757e-7,0.1702985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6468822,"threshold_uncertainty_score":0.9960153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2766879689188622,"score_gpt":0.4320092553792108,"score_spread":0.1553212864603485,"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."}}