{"id":"W4387448614","doi":"10.1109/mbits.2023.3322978","title":"Channel Coding for 6G Extreme Connectivity—Requirements, Capabilities, and Fundamental Tradeoffs","year":2023,"lang":"en","type":"article","venue":"IEEE BITS the Information Theory Magazine","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Coding (social sciences); Channel (broadcasting); Computer science; Computer network; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00231014,0.0001881222,0.000169937,0.0002423054,0.0003986382,0.0002705093,0.0005867306,0.00006296311,0.000007358097],"category_scores_gemma":[0.0002835695,0.0001481329,0.00006447923,0.0004656335,0.0001204295,0.002183864,0.0001814538,0.0001323453,0.00008408604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009002403,"about_ca_system_score_gemma":0.00004835803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006365986,"about_ca_topic_score_gemma":0.0000105563,"domain_scores_codex":[0.9986687,0.0001216369,0.000383073,0.0001993065,0.0002715603,0.000355772],"domain_scores_gemma":[0.9983702,0.0008163067,0.0002034517,0.0004403609,0.0001070477,0.00006259107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002206186,0.0001014012,0.000285829,0.0005565257,0.0001361179,0.000004094326,0.04912098,0.0005629826,0.009514492,0.7645172,0.04421052,0.1307693],"study_design_scores_gemma":[0.002968708,0.0009108655,0.003358423,0.0003179139,0.00006260398,0.0001845505,0.005183469,0.5492564,0.04987475,0.3173589,0.06908165,0.001441667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08773649,0.00006161008,0.9007834,0.002410603,0.001449595,0.001504669,0.00004750801,0.002028067,0.003978097],"genre_scores_gemma":[0.9961927,0.00002973022,0.001578043,0.0009506317,0.00008809926,0.0002256044,0.00002220914,0.00001515217,0.0008978262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9084562,"threshold_uncertainty_score":0.6040685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0514779672806878,"score_gpt":0.2731061771956912,"score_spread":0.2216282099150034,"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."}}