{"id":"W4312036661","doi":"10.1109/mvt.2022.3221264","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; Telecommunications; Engineering; 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":[0.0003456068,0.0001011145,0.0003801067,0.0004733526,0.0001730028,0.000008488946,0.000392506,0.00006243847,0.005633417],"category_scores_gemma":[0.00004355333,0.0001251228,0.00008125628,0.0005860964,0.0002085555,0.00006872308,0.0002599528,0.0001652967,0.003827311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005509355,"about_ca_system_score_gemma":0.000008554929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002823801,"about_ca_topic_score_gemma":0.000002433558,"domain_scores_codex":[0.9989264,0.000006447851,0.0004180846,0.0003623143,0.00003457319,0.0002521662],"domain_scores_gemma":[0.9992722,0.00001006735,0.0002773161,0.0003862281,0.0000294458,0.00002470752],"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":[0.00004117717,0.0004835936,0.07114773,0.00004125434,0.0004409575,0.00005225022,0.0002500178,0.001959532,0.00562755,0.4116685,0.5074168,0.0008706281],"study_design_scores_gemma":[0.0008137874,0.0001067737,0.0008555952,0.000003444217,0.0000091157,0.00001548303,0.0003697595,0.0009630977,0.001752791,0.01272475,0.9821842,0.0002011785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7435486,0.006105077,0.0006273568,0.002102901,0.005131886,0.0004277681,0.001419997,0.0002564742,0.2403799],"genre_scores_gemma":[0.9197581,0.00006662693,0.0002741956,0.0001243714,0.00001705604,0.00006191868,0.000008515051,0.00001350906,0.07967572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4747674,"threshold_uncertainty_score":0.9969483,"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."}}