{"id":"W4244565075","doi":"10.1109/msp.2020.3019612","title":"Table of Contents","year":2020,"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":true,"ca_institutions":"","funders":"Universidade Estadual Paulista; Linköpings Universitet; Menzies Centre for Australian Studies, King's College London, University of London; École Polytechnique Fédérale de Lausanne; York University; Chinese University of Hong Kong; Institut national de recherche en informatique et en automatique (INRIA); University of Pittsburgh; University of Pennsylvania; Purdue University; North Carolina State University; Qualcomm; Kingston University; Arizona State University; Texas Instruments; Iowa State University; Microsoft; Korea Advanced Institute of Science and Technology; National Science Foundation","keywords":"Computer science; Table (database); Information retrieval; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002204806,0.001056037,0.0009429178,0.002652686,0.001568617,0.003979646,0.001162092,0.0009483122,0.8969221],"category_scores_gemma":[0.00207971,0.0003300404,0.0004714538,0.002209955,0.0003287212,0.001888997,0.001648986,0.001157558,0.8434095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105813,"about_ca_system_score_gemma":0.001218753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005062272,"about_ca_topic_score_gemma":0.00852743,"domain_scores_codex":[0.9997064,0.00001981412,0.000009185599,0.0000492063,0.0001826509,0.00003264401],"domain_scores_gemma":[0.9988361,0.0001324576,0.00004492807,0.0001332529,0.000598412,0.000254828],"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":[0.00001043804,0.00001205577,0.00003509774,0.00004101651,9.969165e-7,0.00001023791,0.000004305125,0.0000424959,0.00009947494,0.000513341,0.964596,0.03463459],"study_design_scores_gemma":[0.000004462297,0.000007922364,0.000237434,0.00005362352,0.000001699141,0.00002367656,0.00001610088,0.000079414,0.0001123861,0.000549753,0.9989097,0.000003772744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002600317,0.001069814,0.0006531817,0.001428338,0.005130698,0.000145231,0.006443949,0.001226096,0.9836427],"genre_scores_gemma":[0.000655097,0.0004932511,0.0001935662,0.0003111293,0.0007422733,0.00002768452,0.001857651,0.0003251361,0.9953943],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1030779,"threshold_uncertainty_score":0.1470282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712105553970094,"score_gpt":0.2213876844573321,"score_spread":0.1501771290603227,"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."}}