{"id":"W2558392635","doi":"10.1049/iet-com.2016.0694","title":"Optimal rate profile for multi‐user multi‐rate transmission systems by bivariate fixed‐point analysis","year":2016,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Japan Society for the Promotion of Science","keywords":"Decoding methods; Single antenna interference cancellation; Algorithm; Noisy-channel coding theorem; Mathematics; Transmission (telecommunications); Interference (communication); Computer science; Bivariate analysis; Code rate; Binary number; Gaussian; Channel (broadcasting); Low-density parity-check code; Statistics; Telecommunications; Arithmetic","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":[0.00202698,0.001572101,0.001123919,0.0008417512,0.0005666724,0.001724394,0.00118052,0.0009566293,0.001991025],"category_scores_gemma":[0.004763042,0.0007160252,0.0009067039,0.001164645,0.001199767,0.001418183,0.0009210676,0.001499419,0.0008358274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940239,"about_ca_system_score_gemma":0.001863498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003783917,"about_ca_topic_score_gemma":0.002585822,"domain_scores_codex":[0.9987619,0.0005072975,0.00004108271,0.0000965492,0.0004349708,0.0001582387],"domain_scores_gemma":[0.9981195,0.0009394656,0.0002405106,0.0001331564,0.0005006719,0.00006671546],"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":[0.00006902809,0.00002337255,0.0002608335,0.00009934937,0.00003169581,0.0001160102,0.00009542853,0.9077269,0.005297898,0.06842308,0.0008273017,0.01702903],"study_design_scores_gemma":[0.000005660486,0.00002542383,0.00005168149,0.00001144318,0.00000586045,0.00003722744,0.00001151049,0.9941673,0.0007078049,0.004592572,0.000369577,0.00001394504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0130031,0.0005587627,0.9829012,0.0001289851,0.00002175259,0.00003827586,0.00004421629,0.0001200981,0.003183741],"genre_scores_gemma":[0.7923877,0.00218276,0.200801,0.0001104829,0.00006748567,0.0002649756,0.0001441134,0.000115427,0.003926177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003783917,"threshold_uncertainty_score":0.01407748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646068830527858,"score_gpt":0.308072495169775,"score_spread":0.2716118068644964,"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."}}