{"id":"W2132903062","doi":"10.1109/milcom.1989.103983","title":"Diversity and coding for an interference model","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Binary number; Computer science; Interference (communication); Coding (social sciences); Diversity (politics); Keying; Diversity combining; Phase-shift keying; Algorithm; Binary symmetric channel; Theoretical computer science; Channel (broadcasting); Mathematics; Bit error rate; Statistics; Telecommunications; Law; Arithmetic; Political science; Fading; Channel capacity","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":[0.001128246,0.0005360157,0.0005468248,0.0008207427,0.0005320031,0.001550006,0.0008913114,0.001168956,0.003753866],"category_scores_gemma":[0.003689616,0.0002139883,0.0006749582,0.0009173047,0.001261203,0.002162799,0.001120553,0.001541836,0.0007593308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724337,"about_ca_system_score_gemma":0.001041441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621416,"about_ca_topic_score_gemma":0.001513839,"domain_scores_codex":[0.9990834,0.0003142353,0.00002372902,0.00008057511,0.0003418401,0.0001563225],"domain_scores_gemma":[0.9984396,0.0009844522,0.0001421932,0.0001689326,0.0002154816,0.00004932989],"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":[0.00002270729,0.00001257894,0.0001069589,0.00002517968,0.000007615482,0.00008427902,0.00007396156,0.1318274,0.0008158237,0.8613477,0.001816915,0.003858853],"study_design_scores_gemma":[0.000007916493,0.00001618892,0.00007066775,0.00001284499,0.000004270098,0.00006606336,0.00001716729,0.6867146,0.000210355,0.3109761,0.001892443,0.00001128426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0323786,0.001206025,0.9192351,0.001719132,0.0001563624,0.00002835571,0.0001664754,0.0001289622,0.0449809],"genre_scores_gemma":[0.9134088,0.001536969,0.06586625,0.000656937,0.000375753,0.0001494128,0.000187252,0.00008133102,0.01773731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003753866,"threshold_uncertainty_score":0.01255792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07201464796768081,"score_gpt":0.2708716305678006,"score_spread":0.1988569826001197,"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."}}