{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001731131,0.0007188063,0.0008177112,0.0006229158,0.0008299989,0.0003674045,0.0056818,0.0008974252,0.00004912627],"category_scores_gemma":[0.00004949606,0.0008839077,0.0004903083,0.0008130465,0.0004609592,0.0004747985,0.0001611623,0.002708121,0.00002141598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005983454,"about_ca_system_score_gemma":0.0001984847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007774271,"about_ca_topic_score_gemma":0.001066228,"domain_scores_codex":[0.9974227,0.0001803951,0.0009131157,0.0006485261,0.0002875429,0.0005477152],"domain_scores_gemma":[0.9894634,0.001521368,0.0002863667,0.007982235,0.0006059242,0.0001406607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002102488,0.0003259433,0.00001105587,0.0003219735,0.0004733829,0.000001576282,0.0003516857,0.904482,0.003555956,0.000605374,0.0005184004,0.0893316],"study_design_scores_gemma":[0.001410991,0.0000630254,0.00007101245,0.0008387814,0.0002517376,0.000007080904,0.001297325,0.7842283,0.2003607,0.00419658,0.005509347,0.001765057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009222385,0.001896268,0.9783884,0.00184653,0.001186082,0.001788754,0.001172381,0.003565253,0.0009339703],"genre_scores_gemma":[0.9375209,0.01199535,0.04305125,0.00009203434,0.00002604733,0.006114259,0.0007983448,0.0002426847,0.0001591372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9353371,"threshold_uncertainty_score":0.9996979,"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."}}