{"id":"W2591774524","doi":"","title":"An adaptive antenna selection scheme for hybrid diversity combining","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Antenna diversity; Diversity combining; Multipath propagation; Fading; Electronic engineering; Computer science; Diversity scheme; Diversity gain; Antenna (radio); Cooperative diversity; Wireless; SIGNAL (programming language); Telecommunications; Engineering; Channel (broadcasting)","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":[0.0003467767,0.0004811897,0.0003020384,0.0003555222,0.0003036249,0.0004595339,0.0007281434,0.000378595,0.001530782],"category_scores_gemma":[0.0006646227,0.0001945314,0.000238229,0.0005202742,0.0003602528,0.0004138253,0.0005185859,0.0003695435,0.0005723131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343031,"about_ca_system_score_gemma":0.000137236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844306,"about_ca_topic_score_gemma":0.0003900148,"domain_scores_codex":[0.9996225,0.0001077528,0.00002015372,0.00008295557,0.0001248155,0.00004188908],"domain_scores_gemma":[0.9996039,0.000100952,0.00004316052,0.0001099335,0.0001102372,0.00003183566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007406331,0.0001555254,0.001946368,0.0000650509,0.0001364627,0.0002531749,0.0001847095,0.05938635,0.4284217,0.02093809,0.002513031,0.4852589],"study_design_scores_gemma":[0.0002070388,0.001079496,0.002971361,0.00001952846,0.0001103896,0.001251905,0.00005127948,0.7720506,0.1895626,0.01308116,0.01949188,0.0001227721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179437,0.0002795297,0.8741381,0.0001952465,0.0001213137,0.00007175939,0.00005862833,0.0008484884,0.006343186],"genre_scores_gemma":[0.8394971,0.0001194742,0.1558689,0.0001478785,0.0001033697,0.00009528636,0.00008571803,0.00002105384,0.00406119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001530782,"threshold_uncertainty_score":0.005121052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005181176120910845,"score_gpt":0.1939324965099583,"score_spread":0.1887513203890474,"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."}}