{"id":"W4315777823","doi":"10.1109/gcwkshps56602.2022.10008698","title":"GRAND for Rayleigh Fading Channels","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Globecom Workshops (GC Wkshps)","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fading; Decoding methods; Algorithm; Rayleigh fading; Computer science; BCH code; Code (set theory); Multipath propagation; Channel (broadcasting); Mathematics; Telecommunications","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":[0.000415051,0.0009455484,0.000465564,0.0003112728,0.0004886064,0.000890016,0.000488913,0.0005784544,0.007333718],"category_scores_gemma":[0.002085146,0.0001646663,0.000346303,0.0004571133,0.0005222178,0.0007089215,0.0007323376,0.001071633,0.002409122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617786,"about_ca_system_score_gemma":0.0009110286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003211793,"about_ca_topic_score_gemma":0.004145043,"domain_scores_codex":[0.9996185,0.0001074763,0.00001018243,0.00006093482,0.0001132096,0.00008973297],"domain_scores_gemma":[0.9993255,0.0002721533,0.00006413743,0.0001345134,0.0001824878,0.00002128823],"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":[0.0002795123,0.00005670663,0.001502249,0.0004325071,0.00006675419,0.0007675959,0.0001092086,0.5836493,0.01703504,0.2211097,0.03177369,0.1432177],"study_design_scores_gemma":[0.00002079756,0.0001267624,0.0006310322,0.0000512235,0.00002319902,0.000649533,0.00005017189,0.9217559,0.00552375,0.03978242,0.03133834,0.00004693907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0630807,0.007258802,0.8349877,0.001703634,0.0008348522,0.0002279034,0.001150514,0.002153777,0.08860213],"genre_scores_gemma":[0.8578094,0.006689018,0.0998093,0.0009730468,0.0004202676,0.0002499012,0.0008963819,0.000193399,0.03295926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007333718,"threshold_uncertainty_score":0.02453375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943639283352114,"score_gpt":0.2510370625127393,"score_spread":0.2316006696792181,"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."}}