{"id":"W4384832120","doi":"10.1109/msp.2023.3271044","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"IEEE Signal Processing Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Instituto Superior Técnico; Università di Bologna; Universidade de Lisboa; Institut Polytechnique de Paris; Kungliga Tekniska Högskolan; Queen's University; Sharif University of Technology; Microsoft Research; Universidade Estadual Paulista; National Science Foundation; Bar-Ilan University; Yonsei University; Durham University; Université de Nantes; Queen's University Belfast; Imperial College London; Deutsches Zentrum für Luft- und Raumfahrt; Télécom Paris; McGill University; University of Pittsburgh; Emory University; Tsinghua University; Chalmers Tekniska Högskola; Microsoft","keywords":"Computer science; Table (database); 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":[0.0004127216,0.0001006853,0.0003205718,0.0002156479,0.0001013162,0.00004965437,0.0001815168,0.00004005614,0.002026364],"category_scores_gemma":[0.0000292996,0.0001110682,0.0000618682,0.0005099283,0.0001166114,0.0002251564,0.00004992573,0.00005785506,0.01949258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001915757,"about_ca_system_score_gemma":0.00001965692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002428114,"about_ca_topic_score_gemma":0.000002435744,"domain_scores_codex":[0.9989568,0.000003465669,0.0004285623,0.0003060942,0.00003684825,0.0002682234],"domain_scores_gemma":[0.9994889,0.0000207473,0.0002625449,0.0001281644,0.00005236697,0.00004722796],"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":[0.00005691711,0.0001620252,0.01719149,0.0003614553,0.0001473045,0.00001660311,0.001276503,0.001338295,0.004513037,0.0153933,0.9481067,0.01143635],"study_design_scores_gemma":[0.002481715,0.0001532667,0.01621911,0.0001907192,0.00002884754,0.000006037321,0.0007965229,0.04773856,0.004295722,0.02636841,0.9008125,0.0009085716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09932292,0.002093733,0.00260239,0.0003801766,0.002510927,0.0002420722,0.0006362569,0.000250176,0.8919613],"genre_scores_gemma":[0.8001661,0.00005053286,0.0001326095,0.00006677645,0.0000682787,0.00000617058,0.000008053034,0.00001324678,0.1994883],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7008431,"threshold_uncertainty_score":0.9988859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06621173764658313,"score_gpt":0.2357697078398483,"score_spread":0.1695579701932651,"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."}}