{"id":"W4232058940","doi":"10.1109/jsac.2020.3018975","title":"Guest Editorial Massive Access for 5G and Beyond—Part I","year":2021,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Zhejiang Province; University of New South Wales; Australian Research Council; Digital Grid Futures Institute, University of New South Wales Canberra; National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Computer science; Telecommunications; Wireless","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001141776,0.0004231401,0.0006463587,0.0005497633,0.001084717,0.001895911,0.005658634,0.0008066371,0.000001540222],"category_scores_gemma":[0.002900996,0.0004312386,0.0001673029,0.001189892,0.0001163393,0.0007237816,0.0006946029,0.003709971,0.000006694106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428349,"about_ca_system_score_gemma":0.002066032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002872561,"about_ca_topic_score_gemma":0.00006733822,"domain_scores_codex":[0.9963885,0.0006229845,0.0009226092,0.0005697256,0.0008966126,0.0005995602],"domain_scores_gemma":[0.9884928,0.005855733,0.0008157932,0.001964753,0.002626588,0.0002443088],"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":[0.00002529642,0.0001837857,0.00001995353,0.00002448445,0.00007548981,0.00001152131,0.0002812241,0.00003799147,0.00002232243,0.0001183694,0.9975908,0.001608794],"study_design_scores_gemma":[0.0009848508,0.000171313,0.00002636746,0.0005519685,0.00003992765,0.00002541892,0.00001064336,0.001764775,0.0001010195,0.00138063,0.994498,0.0004450595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004227155,0.0008370424,0.003609077,0.002011616,0.9919245,0.0003310627,0.00001770411,0.00009485264,0.001131917],"genre_scores_gemma":[0.000148876,0.001930762,0.00521984,0.0001114139,0.9920819,0.000077563,0.0002242448,0.00004996945,0.0001554411],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.007895684,"threshold_uncertainty_score":0.9998139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274890403319378,"score_gpt":0.3372209805872697,"score_spread":0.3044720765540759,"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."}}