{"id":"W4362514858","doi":"10.1109/niss55057.2022.10085678","title":"Table of Content","year":2022,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University; University of Windsor","funders":"","keywords":"Computer science; Table (database); Computer graphics (images); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001195079,0.001255121,0.00151972,0.008116136,0.001965952,0.005523476,0.002189409,0.001599829,0.9391501],"category_scores_gemma":[0.01745404,0.0004848343,0.0007606913,0.005549343,0.0005362943,0.002049053,0.00224019,0.001294358,0.8891361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228542,"about_ca_system_score_gemma":0.004003733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005620812,"about_ca_topic_score_gemma":0.008892599,"domain_scores_codex":[0.9990746,0.000136976,0.00005746384,0.0001639369,0.0004635684,0.0001035358],"domain_scores_gemma":[0.9906278,0.002418834,0.0003215522,0.0006572771,0.004835446,0.001139136],"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":[0.00001959042,0.00002588074,0.000161626,0.0002133053,0.000003770108,0.00001610341,0.000009693937,0.00007528555,0.00005671124,0.0007751261,0.9766565,0.02198645],"study_design_scores_gemma":[0.00003236837,0.0000175473,0.0007266625,0.0004139723,0.000008713872,0.0000552914,0.00004854742,0.0001192308,0.000123403,0.003133653,0.9953081,0.00001258448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004932659,0.001959189,0.002702425,0.004141527,0.007639244,0.001318739,0.3518024,0.003547185,0.6263959],"genre_scores_gemma":[0.003490891,0.002053318,0.003206773,0.005398436,0.0028278,0.001351514,0.1868723,0.002731089,0.7920678],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06084991,"threshold_uncertainty_score":0.08679491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091152395769456,"score_gpt":0.1895256040820872,"score_spread":0.08041036450514162,"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."}}