{"id":"W4281572726","doi":"10.1109/mvt.2022.3168944","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Xidian University; Institute of Electrical and Electronics Engineers; Lehigh University; Politecnico di Torino; National Taipei University of Technology; University of Ottawa; Mälardalens högskola; Chungnam National University; Université de Sherbrooke; Mississippi State University","keywords":"Table (database); Computer science; Engineering; Telecommunications; 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":[0.0006375466,0.001011115,0.0009302243,0.005100757,0.001564348,0.004164719,0.001303278,0.0009317154,0.8417828],"category_scores_gemma":[0.007138347,0.0002961281,0.0005380061,0.003494298,0.0003261869,0.00179505,0.001581441,0.001109139,0.8074242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641049,"about_ca_system_score_gemma":0.003219516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005039967,"about_ca_topic_score_gemma":0.007311758,"domain_scores_codex":[0.9993801,0.00007026602,0.00003148454,0.0001005465,0.0003616697,0.00005592247],"domain_scores_gemma":[0.9964484,0.0006518724,0.0001387093,0.0003043632,0.00194181,0.0005148549],"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":[0.00001230087,0.00002271975,0.0001143541,0.0001286669,0.000002784878,0.00001479792,0.000008727284,0.0000803948,0.0001045453,0.0009358077,0.9549943,0.04358054],"study_design_scores_gemma":[0.000004976248,0.00001165839,0.0003158587,0.0001730061,0.000003711357,0.00002649168,0.00002250368,0.00004953778,0.00009271723,0.0009297277,0.9983651,0.000004757761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005052845,0.004250651,0.002715185,0.003844363,0.01144057,0.0006066034,0.05409143,0.002205054,0.9203408],"genre_scores_gemma":[0.002030795,0.003984963,0.001625018,0.002670569,0.002996923,0.0004182465,0.0369307,0.0009632605,0.9483796],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1582172,"threshold_uncertainty_score":0.2256775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264372926307086,"score_gpt":0.199450793289869,"score_spread":0.1730135006591604,"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."}}