{"id":"W4319302472","doi":"10.1109/wacv56688.2023.00004","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; BC Cancer Agency; Universität Stuttgart; Sorbonne Université; Australian e-Health Research Centre; Deutsches Forschungszentrum für Künstliche Intelligenz; University of Tokyo; Università di Catania; Korea Advanced Institute of Science and Technology; Technische Universität München; Universität Ulm; Technische Universiteit Eindhoven; Technische Universität Darmstadt; Rheinische Friedrich-Wilhelms-Universität Bonn; University of British Columbia; University of California, San Diego; Seoul National University; Queensland University of Technology; Commonwealth Scientific and Industrial Research Organisation; Hanyang University; University of Southern California; École de technologie supérieure; Carnegie Mellon University; Microsoft Research; Dublin City University; National Science Foundation; Massachusetts General Hospital; Arkansas NSF EPSCoR; University of Queensland; University of Washington; Bristol-Myers Squibb","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":[0.0003610954,0.000165781,0.0005133799,0.0004461324,0.0000912165,0.00005861755,0.0005813133,0.00007259969,0.002331451],"category_scores_gemma":[0.00001297993,0.0001798258,0.0001530297,0.000568373,0.0001822737,0.0001527345,0.0002071822,0.00009641329,0.01437494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002683084,"about_ca_system_score_gemma":0.0000190428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006771041,"about_ca_topic_score_gemma":0.000004997146,"domain_scores_codex":[0.9983312,0.00001155288,0.0007888793,0.0005379026,0.00007478872,0.0002556505],"domain_scores_gemma":[0.9985919,0.00007715674,0.0004675108,0.0006344012,0.0001532934,0.00007573838],"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":[0.00005412614,0.0004225525,0.002272409,0.000108116,0.0002273933,0.000001766912,0.0007259113,0.0005874843,0.0006296849,0.3149689,0.6669257,0.01307591],"study_design_scores_gemma":[0.00281791,0.0007466777,0.01906068,0.0003937497,0.00003658805,0.00000341522,0.001174194,0.1019221,0.003451993,0.04213399,0.8271721,0.001086627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1133121,0.0004456436,0.2135118,0.003740869,0.008084971,0.002721038,0.005122077,0.0004616173,0.6525999],"genre_scores_gemma":[0.9394374,0.0002011372,0.001108272,0.0001528453,0.0001007647,0.0001050665,0.00005126068,0.00001965449,0.05882359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8261253,"threshold_uncertainty_score":0.9985806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0688548017813893,"score_gpt":0.2672459097697404,"score_spread":0.1983911079883511,"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."}}