{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006822698,0.0003383586,0.0004234286,0.0002739762,0.0006579148,0.0001191122,0.001165394,0.0001278437,0.0009240183],"category_scores_gemma":[0.00004158675,0.0004242081,0.000241436,0.0007563469,0.00005281865,0.0002324643,0.0003230349,0.0007321977,0.00002591302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840528,"about_ca_system_score_gemma":0.00002874462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001628832,"about_ca_topic_score_gemma":0.00002457252,"domain_scores_codex":[0.9979712,0.0001293388,0.0005029103,0.0003872665,0.0004022069,0.0006070773],"domain_scores_gemma":[0.9983755,0.0003307501,0.00009957611,0.0009949678,0.00006222434,0.0001369859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001377112,0.0002908283,0.0002654656,0.0002613905,0.000343583,0.00002608281,0.004243623,0.1712378,0.008666484,0.007443213,0.7680881,0.03899566],"study_design_scores_gemma":[0.001549095,0.0001371907,0.00009026797,0.00007375258,0.00007387075,0.00005418829,0.0009414712,0.2411939,0.01415754,0.007228536,0.7331986,0.001301561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4765078,0.01531953,0.418935,0.004918867,0.01816107,0.008168331,0.001390353,0.01653126,0.04006784],"genre_scores_gemma":[0.9925703,0.0002738162,0.003637372,0.0003031589,0.0002844232,0.001896272,0.0001486774,0.000143421,0.0007425392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5160626,"threshold_uncertainty_score":0.9999893,"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."}}