{"id":"W7051393015","doi":"","title":"Peak to average power ratio reduction and error control in MIMO-OFDM HARQ System","year":2019,"lang":"en","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Orthogonal frequency-division multiplexing; Reduction (mathematics); Hybrid automatic repeat request; Coding (social sciences); Multiplexing; Bit error rate; Wireless; Error detection and correction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006895757,0.0003726375,0.0003494779,0.0003249866,0.0003226287,0.0004844035,0.0005453013,0.0003567044,0.001066077],"category_scores_gemma":[0.001097555,0.0001382806,0.0002860561,0.0003360875,0.0003424336,0.0004416041,0.0002880429,0.000337947,0.0002040624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003811571,"about_ca_system_score_gemma":0.0003612626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007586,"about_ca_topic_score_gemma":0.001380725,"domain_scores_codex":[0.9994532,0.0001666393,0.0000240797,0.00008586737,0.0002010036,0.00006913146],"domain_scores_gemma":[0.9993507,0.0003122981,0.00006321425,0.0000529579,0.0002094967,0.00001117421],"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":[0.0002351504,0.0001158584,0.00260994,0.0002619694,0.00007612782,0.0006236164,0.0003736371,0.7558671,0.05573085,0.03721753,0.002137192,0.144751],"study_design_scores_gemma":[0.000007038374,0.0001191457,0.0004936687,0.00001018764,0.00001573068,0.0001382078,0.00003032216,0.9891933,0.007212315,0.001810182,0.0009578636,0.00001209089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1127068,0.001959898,0.8744255,0.0002939473,0.0001373454,0.00005546319,0.00007149242,0.0004672976,0.009882237],"genre_scores_gemma":[0.9612531,0.0006528863,0.03600406,0.00006002519,0.00003992386,0.00002709441,0.00002658977,0.00001456631,0.001921814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002007586,"threshold_uncertainty_score":0.003991842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007615373803231977,"score_gpt":0.2462964903146517,"score_spread":0.2386811165114197,"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."}}