{"id":"W4249011576","doi":"10.1109/wincom50532.2020.9272476","title":"Wireless Networks and Mobile Communication - 1","year":2020,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Telecommunications; Computer science; Wireless network; Wired communication; Wireless; Mobile telephony; The Internet; Personal Communications Service; World Wide Web; Mobile radio; Wi-Fi array","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006464321,0.001036737,0.0008227755,0.0008780651,0.0007106457,0.004152837,0.0008831452,0.001754901,0.03782666],"category_scores_gemma":[0.002306641,0.0002212706,0.0002993454,0.002029768,0.001257421,0.004602799,0.001762784,0.002519547,0.02310876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008219202,"about_ca_system_score_gemma":0.001013164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008223876,"about_ca_topic_score_gemma":0.0009127789,"domain_scores_codex":[0.9989373,0.0002754936,0.00005737463,0.0001699859,0.0004608162,0.00009894991],"domain_scores_gemma":[0.9989424,0.0003583523,0.00009323196,0.0001519034,0.0003643234,0.00008980998],"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":[0.00004022567,0.00004265538,0.0008903402,0.001220037,0.00003648393,0.0003571726,0.000311386,0.001381628,0.001547996,0.3084468,0.3584904,0.3272349],"study_design_scores_gemma":[0.000003432776,0.00003325845,0.0004274425,0.0003719116,0.000009470851,0.0006287493,0.0001361943,0.0007817221,0.0001926588,0.03399128,0.9634105,0.00001335576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004094792,0.2855499,0.05824772,0.03445674,0.04164997,0.0003013926,0.00184512,0.001284709,0.5725695],"genre_scores_gemma":[0.09130707,0.303067,0.02939934,0.01022968,0.02323854,0.0004661746,0.002994238,0.000640548,0.5386574],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03782666,"threshold_uncertainty_score":0.1265427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147589474374507,"score_gpt":0.2176200637439561,"score_spread":0.2028611163065054,"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."}}