{"id":"W4312683064","doi":"10.1109/cvpr52688.2022.00004","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Automation, Chinese Academy of Sciences; Institute for Infocomm Research; University of Chinese Academy of Sciences; Skolkovo Institute of Science and Technology; Agency for Defense Development; Technische Universität München; Tsinghua University; Beijing Normal University; Yonsei University; Sun Yat-sen University; Chinese Academy of Sciences; City University of Hong Kong; Wayne State University; University of Technology Sydney; Beijing Institute of Technology; Hong Kong Baptist University; Johns Hopkins University; University of Sydney; University of Science and Technology of China; Nanyang Technological University; Hong Kong University of Science and Technology; University of Toronto; Seoul National University; Tencent; National University of Singapore; Chinese University of Hong Kong; Huazhong University of Science and Technology; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Institut national de recherche en informatique et en automatique (INRIA); Nvidia","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004215076,0.0001738595,0.0004538725,0.0002606244,0.0002896496,0.0001054305,0.0002224291,0.00004293583,0.02464135],"category_scores_gemma":[0.00000878148,0.000195156,0.00009732908,0.0001649257,0.00008487455,0.000176385,0.0002373962,0.0001860251,0.001925454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003608683,"about_ca_system_score_gemma":0.00001185644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001149403,"about_ca_topic_score_gemma":0.00000734844,"domain_scores_codex":[0.9985259,0.00004385925,0.0005374897,0.0005656958,0.00008821164,0.0002388335],"domain_scores_gemma":[0.9992016,0.00005516673,0.0003646565,0.0002292577,0.00006255291,0.00008675567],"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":[0.0003262868,0.001393232,0.02263099,0.0002075458,0.0004250584,0.00004505384,0.003317382,0.0002770038,0.0003882651,0.01456678,0.5904493,0.3659731],"study_design_scores_gemma":[0.01308065,0.005149147,0.03075569,0.0004724999,0.00008695861,0.00009073479,0.004992314,0.2203051,0.001361534,0.03830519,0.682058,0.003342166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7805635,0.0005781231,0.01748648,0.001579811,0.01465748,0.0009219965,0.007726947,0.0001371965,0.1763484],"genre_scores_gemma":[0.9872665,0.0002691444,0.0001604884,0.001339734,0.0000872219,0.00004497873,0.000106664,0.00001563106,0.01070962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3626309,"threshold_uncertainty_score":0.9988517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016055954196378,"score_gpt":0.2390939436373367,"score_spread":0.1374883482176989,"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."}}