{"id":"W3133322928","doi":"10.1109/jsac.2020.3018841","title":"Guest Editorial Massive Access for 5G and Beyond—Part II","year":2021,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Telecommunications; Internet of Things; Computer network; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003304748,0.002671937,0.002552317,0.002491483,0.002063029,0.006235773,0.001807544,0.007916397,0.01962526],"category_scores_gemma":[0.01043222,0.0007451838,0.001610887,0.00104232,0.001335901,0.003106915,0.001192302,0.01362628,0.0150749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436375,"about_ca_system_score_gemma":0.00174088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005261149,"about_ca_topic_score_gemma":0.001348378,"domain_scores_codex":[0.9977471,0.0002426145,0.0002470048,0.0003665967,0.001192604,0.0002039478],"domain_scores_gemma":[0.9894899,0.002774858,0.000703026,0.0002818756,0.004629046,0.002121313],"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":[0.00003827574,0.00001261392,0.00002290489,0.0001741187,0.00000875495,0.0001169729,0.000006786988,0.0000313033,0.0001349688,0.0003881212,0.9928067,0.0062584],"study_design_scores_gemma":[0.00004016325,0.00004903426,0.00023741,0.0002639984,0.00002272845,0.0002949162,0.00002607764,0.0001731871,0.0001960368,0.0009671301,0.9977133,0.00001609719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002956241,0.002081882,0.0001039123,0.01018313,0.9860032,0.00001342569,0.00003132774,0.00003166663,0.001521835],"genre_scores_gemma":[0.0002942297,0.002263131,0.0000562422,0.006985867,0.9824759,0.00001469238,0.00002326824,0.00002519854,0.007861454],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01962526,"threshold_uncertainty_score":0.06565297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370881276603399,"score_gpt":0.3172621469946789,"score_spread":0.2935533342286449,"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."}}