{"id":"W3091313081","doi":"10.1109/twc.2021.3117256","title":"Massive Uncoordinated Multiple Access for Beyond 5G","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Payload (computing); Computer science; Channel (broadcasting); Telecommunications link; Computer network; Network packet; Identification (biology); Scheme (mathematics); Identifier; Code (set theory); Real-time computing; Wireless; Telecommunications","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":[0.0006162502,0.0007604485,0.0005444371,0.0006346007,0.0007069821,0.0007456366,0.001030973,0.0006494623,0.002059032],"category_scores_gemma":[0.001819334,0.0002532602,0.0004609679,0.0008706229,0.0006231424,0.0008385996,0.001656517,0.001081745,0.0006525808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484017,"about_ca_system_score_gemma":0.0005986753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332565,"about_ca_topic_score_gemma":0.002639727,"domain_scores_codex":[0.9992244,0.0002414211,0.00004519527,0.0001443506,0.0002484853,0.0000961799],"domain_scores_gemma":[0.9992755,0.0002358611,0.0001010156,0.0001708318,0.0001708593,0.00004597646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000393562,0.0001637199,0.00247389,0.0005081284,0.0001353069,0.001063919,0.0005087061,0.1216552,0.08904195,0.1513902,0.008625221,0.6240402],"study_design_scores_gemma":[0.00004639714,0.0005010833,0.001329627,0.0001032264,0.0000910437,0.001317687,0.00008457064,0.9218256,0.01357878,0.02846201,0.03257559,0.00008446119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01496821,0.00188846,0.975444,0.0003404427,0.0001564575,0.00006874509,0.00006278988,0.0006207383,0.006450177],"genre_scores_gemma":[0.7810721,0.00209309,0.210987,0.0004640207,0.0003070343,0.0001895372,0.0001841246,0.0000411217,0.004662002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002059032,"threshold_uncertainty_score":0.006888211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04481634539568422,"score_gpt":0.3036866223928452,"score_spread":0.258870276997161,"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."}}