{"id":"W2482788948","doi":"10.4018/978-1-59904-988-5.ch001","title":"Eigencombining","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Beamforming; Maximal-ratio combining; Algorithm; Computational complexity theory; Antenna (radio); Channel (broadcasting); Mathematics; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003582753,0.000708659,0.0005965395,0.0005579317,0.0004429726,0.001478098,0.0008248825,0.0005860676,0.02230412],"category_scores_gemma":[0.001091658,0.0003559279,0.00057867,0.0007828294,0.0007559936,0.001551588,0.001280661,0.001052422,0.009000188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331111,"about_ca_system_score_gemma":0.0003879376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000211845,"about_ca_topic_score_gemma":0.0003846425,"domain_scores_codex":[0.9995826,0.00006350588,0.00002269665,0.000109962,0.0001832937,0.00003805547],"domain_scores_gemma":[0.9995883,0.0001485761,0.00003033554,0.0001212507,0.00009525737,0.00001626613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005788575,0.00004925324,0.0002720664,0.0002787774,0.00002928534,0.0001325703,0.0002153754,0.02425962,0.01565713,0.5334288,0.0165246,0.4090946],"study_design_scores_gemma":[0.00002708075,0.0001769839,0.0004683936,0.0001518634,0.00002909023,0.001463756,0.0001345457,0.2217369,0.02919185,0.3893275,0.3572215,0.00007056495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00393854,0.001460382,0.9161382,0.0001989732,0.0003092446,0.00006301252,0.0001213205,0.0005989864,0.07717129],"genre_scores_gemma":[0.1342599,0.00417413,0.7361752,0.0005809293,0.0003432932,0.0002671117,0.000585252,0.0008442986,0.1227698],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02230412,"threshold_uncertainty_score":0.0746147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646620486143578,"score_gpt":0.2473463070086366,"score_spread":0.2308801021472008,"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."}}