{"id":"W4235356794","doi":"10.1109/cvpr.2019.00004","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Microsoft Research Asia; Xidian University; Institute of Automation, Chinese Academy of Sciences; Council for Research in the Social Sciences, Columbia University; Beijing Institute of Technology; Chinese University of Hong Kong; College of Engineering, Michigan State University; Tongji University; Chinese Academy of Sciences; Connaught Fund; Pohang University of Science and Technology; Harbin Institute of Technology; Agency for Science, Technology and Research; Commonwealth Scientific and Industrial Research Organisation; De La Salle University; Eidgenössische Technische Hochschule Zürich; Tencent; National Laboratory of Pattern Recognition; Johns Hopkins University; Northwestern University; Microsoft Research","keywords":"Table (database); Computer science; Table of contents; Database; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.00004942713,0.0000257813,0.00005016098,0.00002081589,0.000009978053,0.00001065211,0.0003585152,0.00001105205,0.0001341338],"category_scores_gemma":[0.00001046486,0.00002139734,0.00001270281,0.0001283223,0.000005635515,0.00008755502,0.0000864403,0.00003273939,0.0005677765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002708014,"about_ca_system_score_gemma":0.000007931376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370765,"about_ca_topic_score_gemma":0.000001538753,"domain_scores_codex":[0.9996886,0.000008352598,0.00006680543,0.0001009812,0.00007437164,0.0000608813],"domain_scores_gemma":[0.9995492,0.00003059445,0.00003044493,0.0003367485,0.00003463444,0.00001842469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.725643e-7,0.0000550497,0.1756465,0.000009675742,0.000006783199,1.284318e-7,0.0001072973,0.0006596656,0.0316392,0.7815253,0.0006487912,0.009700708],"study_design_scores_gemma":[0.0004502791,0.00005843888,0.372089,0.000008449329,0.000001398057,0.000002234832,0.00001209337,0.5977815,0.0151787,0.002854729,0.0114434,0.0001198157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4239646,0.00001106651,0.4569023,0.0009262641,0.00008422202,0.0001466359,5.18922e-7,0.0001207959,0.1178436],"genre_scores_gemma":[0.9489112,3.079257e-7,0.04810479,0.000107688,0.000002847477,0.000003231527,3.662845e-7,0.000001562429,0.002868034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7786705,"threshold_uncertainty_score":0.7297807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115818062217874,"score_gpt":0.2568447208325857,"score_spread":0.2452629146107984,"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."}}