{"id":"W2781303461","doi":"10.1109/cns.2017.8228670","title":"Physical layer security using BCH and LDPC codes with adaptive granular HARQ","year":2017,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Hybrid automatic repeat request; Retransmission; Computer science; Low-density parity-check code; BCH code; Decoding methods; Forward error correction; Algorithm; Automatic repeat request; Computer network; Channel (broadcasting); Network packet; Telecommunications link","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":[0.0007836336,0.0006791645,0.0006144205,0.0007398246,0.0005660418,0.000959288,0.0008066822,0.0007562325,0.0007599287],"category_scores_gemma":[0.002394818,0.0002168472,0.0003196945,0.0008470713,0.001277663,0.001312602,0.001122901,0.0009514943,0.0002292954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008179881,"about_ca_system_score_gemma":0.0008523624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482281,"about_ca_topic_score_gemma":0.00163442,"domain_scores_codex":[0.9991602,0.0002583934,0.00003450187,0.00008300994,0.0003781248,0.00008567762],"domain_scores_gemma":[0.9986303,0.0005557532,0.0002147976,0.0003140857,0.0002392349,0.00004580519],"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":[0.0003303993,0.000125755,0.001131849,0.0002910266,0.0000908794,0.0004081671,0.0002770566,0.5534249,0.04335,0.2059909,0.001846316,0.1927326],"study_design_scores_gemma":[0.00001898978,0.00008038299,0.0001583018,0.00002337682,0.00001483426,0.0001385968,0.00002245277,0.9762457,0.005046747,0.016856,0.001367365,0.00002724252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03373547,0.0008974548,0.9617132,0.0001927636,0.0000754037,0.00007137499,0.00004409228,0.0003857351,0.002884405],"genre_scores_gemma":[0.7732116,0.0007716567,0.2235827,0.0001367119,0.00006111644,0.0000935131,0.00005850147,0.00003524269,0.002048931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001482281,"threshold_uncertainty_score":0.005934894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170528406068124,"score_gpt":0.2804596670324077,"score_spread":0.2487543829717264,"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."}}