{"id":"W4244371513","doi":"10.1109/wcl.2013.06.cover2","title":"[Staff list]","year":2013,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Università di Pisa; Shanghai Jiao Tong University; Queen's University; Korea University; Nanyang Technological University; Indian Institute of Science; National University of Singapore; University College London; Kungliga Tekniska Högskolan; Institute of Electrical and Electronics Engineers; King's College London; Institute for Infocomm Research; Curtin University of Technology; West Virginia University","keywords":"Computer science; Computer network","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000232369,0.0002505143,0.0002446139,0.0002404266,0.0004987167,0.0002176692,0.002976697,0.00008173162,0.000390044],"category_scores_gemma":[0.00003301865,0.0002661201,0.0001263994,0.0006491245,0.0006651644,0.0006215444,0.0003459225,0.0004807447,0.01983258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049934,"about_ca_system_score_gemma":0.00003826821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126746,"about_ca_topic_score_gemma":0.000229391,"domain_scores_codex":[0.9980999,0.0003809486,0.0004296816,0.0002948263,0.0003138148,0.0004807849],"domain_scores_gemma":[0.9938815,0.0003119478,0.0001977521,0.005266954,0.0001736148,0.0001682554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000436266,0.0003334035,0.002214341,0.00001058893,0.00007439114,0.000001813163,0.0008265358,0.0001120331,0.6910885,0.004781277,0.2943005,0.00625229],"study_design_scores_gemma":[0.00406479,0.0001460219,0.0292882,0.0003427783,0.0002753604,0.0001340703,0.002767589,0.05401764,0.05221361,0.001532029,0.8510011,0.004216825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93806,0.0001296045,0.0009205954,0.05051081,0.0002120911,0.0006254461,0.00003883475,0.0007287351,0.008773926],"genre_scores_gemma":[0.9895687,0.00005132844,0.006016142,0.00317261,0.00007107029,0.0005666301,0.00009081766,0.0001272738,0.0003354576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6388749,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079078591610704,"score_gpt":0.2710774734736668,"score_spread":0.2402866875575598,"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."}}