{"id":"W4245628427","doi":"10.1109/wcl.2014.06.cover2","title":"Staff List","year":2014,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Università degli Studi di Ferrara; National Chiao Tung University; Korea Advanced Institute of Science and Technology; Shanghai Jiao Tong University; Università di Pisa; University of Crete; Kungliga Tekniska Högskolan; Tsinghua University; Bilkent Üniversitesi; Queen's University; Yonsei University; Shanghai Educational Development Foundation; Indian Institute of Science; University College London; Korea University; University of Warwick; King's College London; Università degli Studi di Parma; University of Alberta; Institute for Infocomm Research; Curtin University of Technology; Intel Corporation; West Virginia University","keywords":"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":[],"category_scores_codex":[0.003155024,0.001157095,0.002075658,0.005816945,0.003041257,0.006880121,0.002782941,0.002831526,0.9220315],"category_scores_gemma":[0.02754715,0.0006679664,0.0009975063,0.003514733,0.0006677493,0.002959177,0.00377944,0.002616128,0.9250749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153684,"about_ca_system_score_gemma":0.006692078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302927,"about_ca_topic_score_gemma":0.004470888,"domain_scores_codex":[0.9978294,0.0002954052,0.0001448442,0.0002600121,0.001151266,0.0003190304],"domain_scores_gemma":[0.9763901,0.002920568,0.0006724157,0.001827042,0.01207293,0.006116929],"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":[0.00001660689,0.00001917439,0.00004994768,0.0001098426,0.000001182414,0.00001336343,0.000008033127,0.00001993363,0.00006934905,0.0006568081,0.9696741,0.02936166],"study_design_scores_gemma":[0.0000146566,0.00001823603,0.0001579947,0.0001732746,0.000002949382,0.00003358646,0.00003270282,0.00005775967,0.0001164983,0.0009667889,0.9984186,0.00000702263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000428557,0.002711663,0.003708747,0.01544742,0.03270589,0.0009418985,0.02167685,0.005854544,0.9165244],"genre_scores_gemma":[0.0008143234,0.00137768,0.001038154,0.003268094,0.0025154,0.0004408303,0.007800093,0.00107222,0.9816731],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07796854,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028762564597885,"score_gpt":0.2772185999454572,"score_spread":0.2484560353475722,"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."}}