{"id":"W4232295264","doi":"10.1109/cvprw50498.2020.00004","title":"CVPRW 2020 TOC","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Shenzhen Research Institute, City University of Hong Kong; University of Illinois at Urbana-Champaign; Shenzhen Research Institute of Big Data; Lomonosov Moscow State University; Technische Universität Dortmund; University of Chinese Academy of Sciences; Uppsala Universitet; University of California, San Diego; Oulun Yliopisto; Southern Federal University; Universidad de Zaragoza; University of Haifa; University of Central Florida; Eidgenössische Technische Hochschule Zürich; Florida State University; Chinese Academy of Sciences; Technische Universität Braunschweig; Microsoft Research Asia; SenseTime Group; Commonwealth Scientific and Industrial Research Organisation; Cardiff University; York University; RWTH Aachen University; Royal Bank of Canada; National Institute of Advanced Industrial Science and Technology; Bergische Universität Wuppertal; McGill University; Institut national de recherche en informatique et en automatique (INRIA); City University of Hong Kong; Google; University of Tsukuba; Indian Institute of Technology Gandhinagar; Peng Cheng Laboratory; Microsoft Research; Ford Motor Company","keywords":"Computer science","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":[0.00003400569,0.00006149675,0.00006490706,0.0000105363,0.00003760865,0.00009382013,0.0007191115,0.00001737133,0.00003926025],"category_scores_gemma":[0.00006331069,0.0000533579,0.00001964551,0.0002723656,0.00001786697,0.0005899509,0.0003102861,0.00007018742,0.000157856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007725562,"about_ca_system_score_gemma":0.00002444896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001166752,"about_ca_topic_score_gemma":1.882092e-7,"domain_scores_codex":[0.9994457,0.000008520469,0.00008353098,0.0002344798,0.0001071052,0.0001206881],"domain_scores_gemma":[0.9996279,0.0000148575,0.00002445957,0.0002147358,0.0000356715,0.00008241434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008025586,0.00004921178,0.0002583046,0.00004866657,0.00001016396,0.0001014299,0.001310303,0.00001327529,0.05622517,0.3030595,0.2005944,0.4383216],"study_design_scores_gemma":[0.0002576393,0.0002288493,0.0001129793,0.00001666039,0.000002849043,0.00002546715,0.00002301564,0.5929946,0.1398965,0.08831813,0.1776223,0.000500948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001750556,0.00006533702,0.9584149,0.01804039,0.00002816604,0.00004775473,1.411153e-7,0.001537093,0.02184869],"genre_scores_gemma":[0.05774973,0.000005658319,0.9337055,0.008206879,0.00004755918,0.00000585511,2.034407e-7,0.000004775975,0.0002738177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5929813,"threshold_uncertainty_score":0.2175872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732791942645992,"score_gpt":0.2579761083198838,"score_spread":0.2406481888934239,"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."}}