{"id":"W4412030314","doi":"10.1109/twc.2025.3584017","title":"Achievable Splitting and Decoding in the Multiple Access Channel: A Hierarchical Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Decoding methods; Computer science; Computer network; Channel (broadcasting); Telecommunications; Algorithm","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":[0.001387852,0.000939051,0.0009275294,0.0008801105,0.000914367,0.001244156,0.001695588,0.0009613393,0.001944697],"category_scores_gemma":[0.003573109,0.0005227163,0.0007435572,0.00107488,0.00121376,0.001652957,0.002240499,0.001238626,0.00069037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180798,"about_ca_system_score_gemma":0.001897931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290657,"about_ca_topic_score_gemma":0.003148542,"domain_scores_codex":[0.9988645,0.0003361799,0.00006633381,0.0001734364,0.0003667008,0.0001927923],"domain_scores_gemma":[0.9981077,0.0009268846,0.0001506797,0.0003630847,0.0003568704,0.0000949334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001338265,0.0001107477,0.0005005404,0.0001362644,0.0000334467,0.000163737,0.0003202024,0.7596564,0.02447888,0.1192232,0.001542838,0.09369995],"study_design_scores_gemma":[0.000007052204,0.00002434694,0.00005454812,0.00000802469,0.000006842849,0.00004116075,0.00002005582,0.9713846,0.003193911,0.02464625,0.0006010577,0.00001195584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009989012,0.0001595937,0.986676,0.00009448982,0.00001444782,0.00004602625,0.00004249504,0.0001866377,0.00279135],"genre_scores_gemma":[0.5613639,0.0004191072,0.4345624,0.0001206803,0.00006785517,0.0001643476,0.000160531,0.0001109049,0.003030248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002290657,"threshold_uncertainty_score":0.008567333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159920531674648,"score_gpt":0.3028183247513315,"score_spread":0.261219119434585,"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."}}