{"id":"W4243604447","doi":"10.1109/mvt.2018.2884000","title":"Staff Listing","year":2019,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cheng Kung University; Università di Pisa; Universitetet i Oslo; La Trobe University; Politecnico di Torino; McMaster University","keywords":"Business; Telecommunications; Engineering; Computer science","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":[0.001933632,0.001462546,0.001836159,0.005357111,0.002425401,0.005031865,0.002004999,0.001727361,0.9066842],"category_scores_gemma":[0.009991623,0.0007209597,0.0008620584,0.003490465,0.0004504596,0.002721504,0.002835694,0.001788624,0.9105819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317763,"about_ca_system_score_gemma":0.005751012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003886859,"about_ca_topic_score_gemma":0.007425582,"domain_scores_codex":[0.9987174,0.0001381606,0.00006899313,0.0001624212,0.0007072061,0.000205871],"domain_scores_gemma":[0.9900718,0.0008298734,0.0002714348,0.0006457697,0.004893135,0.003287976],"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":[0.00002085351,0.00003094466,0.00007694949,0.00006206703,8.997301e-7,0.00001198394,0.000005649729,0.00002391877,0.0001101487,0.0003456269,0.9738551,0.02545577],"study_design_scores_gemma":[0.00002018429,0.00003106041,0.000275424,0.00008174879,0.000002389247,0.00003768233,0.00003367028,0.00008467058,0.000168022,0.0006779039,0.9985801,0.000007121418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006714988,0.001700379,0.003415928,0.006329651,0.01185343,0.0007793917,0.03339808,0.006340608,0.9355111],"genre_scores_gemma":[0.0008043051,0.0008140577,0.000862631,0.001432281,0.001096894,0.0002385844,0.0118012,0.001058056,0.981892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09331578,"threshold_uncertainty_score":0.1331037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009068510842966485,"score_gpt":0.2398550872614107,"score_spread":0.2307865764184442,"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."}}