{"id":"W2148711981","doi":"10.1109/vetec.1993.508796","title":"A postdistortion receiver for mobile communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transmitter; Spectral efficiency; Base station; Amplifier; Computer science; Electronic engineering; Interference (communication); Adjacent-channel interference; Mobile telephony; Channel (broadcasting); Transmitter power output; Electrical efficiency; Power (physics); Electrical engineering; Mobile radio; Telecommunications; Engineering; Physics; Bandwidth (computing)","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":[0.0007519657,0.0008472916,0.0007068373,0.0004595483,0.0007232085,0.0008962605,0.001791894,0.001960187,0.008058267],"category_scores_gemma":[0.0008775159,0.0004873565,0.0005155868,0.0003857345,0.0004615489,0.001334262,0.0007663016,0.002146657,0.006736941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105273,"about_ca_system_score_gemma":0.0004361192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002624649,"about_ca_topic_score_gemma":0.0005375143,"domain_scores_codex":[0.9993318,0.0001185428,0.00002792235,0.0001131277,0.000338323,0.0000703017],"domain_scores_gemma":[0.9992031,0.0001690471,0.0001029229,0.0001443494,0.0003190806,0.00006151192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005694333,0.0001577661,0.0009615659,0.0002797719,0.00007623435,0.000548969,0.0001851528,0.002590808,0.7822,0.01152115,0.006223278,0.1946858],"study_design_scores_gemma":[0.0001952655,0.003096591,0.002226556,0.0001177674,0.0002365032,0.006797572,0.00005311677,0.1213802,0.6826049,0.002346276,0.1807448,0.0002005006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.019158,0.0008595709,0.9707939,0.0004843455,0.0004520661,0.0001541996,0.00005342914,0.002961396,0.005082959],"genre_scores_gemma":[0.2619327,0.001031258,0.699777,0.0012094,0.000875239,0.000262622,0.0003311461,0.000349163,0.03423136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008058267,"threshold_uncertainty_score":0.02695763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09018045259941047,"score_gpt":0.3239401185077729,"score_spread":0.2337596659083624,"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."}}