{"id":"W2079948767","doi":"10.1049/el:20000605","title":"Performance sensitivity comparison of two diversityschemes","year":2000,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Maximal-ratio combining; Sensitivity (control systems); Bit error rate; Channel (broadcasting); Diversity combining; Degradation (telecommunications); Mathematics; Electronic engineering; Computer science; Statistics; Telecommunications; Algorithm; Engineering; Fading","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000724002,0.00009100191,0.0001439768,0.00004191621,0.00004836414,0.000004614219,0.0001432406,0.00002560641,0.0000437972],"category_scores_gemma":[0.000002077773,0.0001086034,0.00003332891,0.000120248,0.00004388164,0.0001320422,0.00002078717,0.0002152303,0.00001699383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009001089,"about_ca_system_score_gemma":0.000005738608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004642053,"about_ca_topic_score_gemma":0.000008970592,"domain_scores_codex":[0.9994702,0.00002320523,0.0001316794,0.00007884348,0.00009758347,0.0001985068],"domain_scores_gemma":[0.9996144,0.00003660311,0.00002568025,0.0002885279,0.00001358299,0.00002117866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001819281,0.00004874865,0.01210391,0.00005668059,0.00005862156,0.000001365931,0.0004732716,0.2577105,0.5410627,0.0004776167,0.002384266,0.1856041],"study_design_scores_gemma":[0.0002124886,0.00003310894,0.001318306,0.00001985114,0.00001058453,0.000002900559,0.000009121567,0.1854183,0.8015609,0.00003713473,0.01116961,0.0002076939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876082,0.0003869786,0.009844562,0.0001394116,0.00001448187,0.00006537866,0.000001747361,0.0003585596,0.00158071],"genre_scores_gemma":[0.9949237,0.0005124108,0.004418947,0.00008787704,0.00001166982,0.000003524638,0.000007250276,0.00001524682,0.000019345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2604982,"threshold_uncertainty_score":0.442872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008037570209678336,"score_gpt":0.2403166416355652,"score_spread":0.2322790714258869,"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."}}