{"id":"W4240652057","doi":"10.1109/mvt.2019.2902768","title":"Table of contents","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universität Kassel; National Cheng Kung University; Università di Pisa; National Taipei University of Technology; Universitetet i Oslo; Universitetet i Agder; La Trobe University; Politecnico di Torino; Conservatoire National des Arts et Métiers; Mälardalens högskola; Université de Sherbrooke","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":[],"consensus_categories":[],"category_scores_codex":[0.0001416734,0.0001392352,0.0002975671,0.0004604146,0.00004299413,0.00001943872,0.002493511,0.00029835,0.00001886196],"category_scores_gemma":[0.00005866885,0.0001267464,0.00005728421,0.001313413,0.0002065397,0.000242038,0.0004986129,0.0002897605,0.0005439199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001488899,"about_ca_system_score_gemma":0.0000323803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005798335,"about_ca_topic_score_gemma":0.00000308621,"domain_scores_codex":[0.9989082,0.00002424577,0.0002911044,0.0003178166,0.0001749914,0.0002836418],"domain_scores_gemma":[0.9974979,0.00003664058,0.0001767792,0.002076408,0.0001839083,0.0000284071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008943029,0.0002267899,0.02545431,0.00006059759,0.00008120859,0.00001731313,0.00003531947,0.0001897259,0.5368125,0.3808172,0.00320672,0.05308936],"study_design_scores_gemma":[0.001210982,0.0003264686,0.002933801,0.00008097255,0.00001053119,0.00005244701,0.00005137228,0.01491741,0.896473,0.02051468,0.06305191,0.0003764113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996763,0.001833485,0.08375331,0.007402323,0.0004608255,0.0004356759,0.000004545596,0.002152183,0.004281374],"genre_scores_gemma":[0.9794573,0.0001393774,0.01954121,0.0001214546,0.000004411786,0.00002531529,0.000001843842,0.000009719953,0.0006994165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3603025,"threshold_uncertainty_score":0.6991171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011197564667248,"score_gpt":0.2248170258233194,"score_spread":0.2136194611560714,"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."}}