{"id":"W4313478262","doi":"10.1109/msp.2022.3218478","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"IEEE Signal Processing Magazine","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"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); Data mining","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":[0.00007373199,0.0000889708,0.0001404305,0.00005661613,0.00006870524,0.00002333029,0.00008848651,0.00002122096,0.0004657534],"category_scores_gemma":[0.000001030986,0.00007866718,0.00004516297,0.0004026193,0.0000431338,0.0001177601,0.00001632013,0.00009426042,0.0001751003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002959647,"about_ca_system_score_gemma":0.0000371561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049911,"about_ca_topic_score_gemma":3.230375e-7,"domain_scores_codex":[0.9993349,0.00001313372,0.0001775161,0.0001468795,0.0001374301,0.0001901148],"domain_scores_gemma":[0.9996794,0.00001485451,0.00009256772,0.00007481119,0.00008599178,0.00005240205],"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":[0.0001036344,0.0002285235,0.006202978,0.0001660342,0.0000743999,0.000006956109,0.0002394564,0.01864564,0.3825873,0.001653775,0.1035292,0.4865621],"study_design_scores_gemma":[0.003319565,0.000265565,0.004725695,0.0005935888,0.0001164102,0.000007638371,0.0004003767,0.6175301,0.2838823,0.01805985,0.07003671,0.00106217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8148881,0.000232532,0.09045918,0.0006832538,0.0008545805,0.0003790073,0.00005889666,0.0003971506,0.09204725],"genre_scores_gemma":[0.9893147,0.000002316611,0.00009179881,0.00003116663,0.0002999928,0.000006870358,0.00001900427,0.00001413041,0.01021998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5988845,"threshold_uncertainty_score":0.5099673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230191488527482,"score_gpt":0.2730083503590787,"score_spread":0.2407064354738039,"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."}}