{"id":"W2990463783","doi":"10.11648/j.jeee.20190706.11","title":"Invited Paper: Raptor Code and Massive MiMo for Secure Wireless Delivery in 5G","year":2019,"lang":"en","type":"article","venue":"Journal of Electrical and Electronic Engineering","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Eavesdropping; Computer science; MIMO; Physical layer; Artificial noise; Computer network; Fountain code; Secrecy; Transmission (telecommunications); Code (set theory); Wireless; Secure transmission; Channel (broadcasting); Computer security; Telecommunications; Decoding methods; Block code; Concatenated error correction code","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":[0.0005760895,0.0005833624,0.0003177874,0.0004269648,0.0004171636,0.0008379502,0.0005377262,0.001285963,0.006191825],"category_scores_gemma":[0.001674278,0.0001406587,0.0003714667,0.000458328,0.0005086171,0.000920761,0.0004443592,0.001124807,0.002174415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389395,"about_ca_system_score_gemma":0.0002880078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006312684,"about_ca_topic_score_gemma":0.0006522823,"domain_scores_codex":[0.9996721,0.0001142291,0.00000869209,0.0000659953,0.0001069474,0.00003208371],"domain_scores_gemma":[0.999421,0.0002150737,0.00002853167,0.00003569252,0.0002557924,0.00004392734],"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":[0.001002038,0.0001271783,0.002584544,0.001294883,0.0003033126,0.002333864,0.0005893277,0.07147594,0.03096675,0.1791451,0.3778486,0.3323285],"study_design_scores_gemma":[0.0001244633,0.000758082,0.001368485,0.0002032145,0.0002110431,0.00261261,0.0004018981,0.3909048,0.03561022,0.05490493,0.5126958,0.0002044374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07234018,0.06254739,0.6531485,0.03788595,0.05766854,0.0002535773,0.0003782147,0.001159502,0.1146181],"genre_scores_gemma":[0.681419,0.03551918,0.09832045,0.004904833,0.02227735,0.0001258134,0.0003717422,0.0003338625,0.1567278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006191825,"threshold_uncertainty_score":0.02071369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003685328197507719,"score_gpt":0.1937284400100281,"score_spread":0.1900431118125203,"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."}}