{"id":"W2108388903","doi":"10.1109/twc.2009.081001","title":"A First-Order Model for Depolarization of Propagating Signals by Narrowband Ricean Fading Channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fading; Narrowband; Polarization (electrochemistry); Fading distribution; Mathematics; Diversity combining; Statistics; Telecommunications; Channel (broadcasting); Statistical physics; Computer science; Physics; Rayleigh 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":[0.0007992705,0.0007464799,0.0009693815,0.0006463717,0.000617408,0.001294108,0.001177555,0.00204955,0.00361499],"category_scores_gemma":[0.002293798,0.0004075315,0.0007887693,0.0009839634,0.001155385,0.001774964,0.0005438116,0.001323972,0.0009888927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131124,"about_ca_system_score_gemma":0.0008435425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006061758,"about_ca_topic_score_gemma":0.004405355,"domain_scores_codex":[0.9996985,0.00009100551,0.00001084042,0.00004672444,0.00007944867,0.00007350093],"domain_scores_gemma":[0.9991673,0.000427779,0.0001139957,0.00007321603,0.0001647376,0.00005298698],"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":[0.00003834506,0.00002743829,0.0005835181,0.00002657025,0.00001239069,0.0001243473,0.00008005948,0.9365376,0.001641762,0.05865178,0.0005775684,0.001698543],"study_design_scores_gemma":[0.00001342115,0.0000178009,0.0001491143,0.000004439055,0.000004401957,0.00005451112,0.0000149742,0.990647,0.000242544,0.008550027,0.0002868602,0.00001503897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1923286,0.0005320841,0.7760855,0.001067116,0.0001456079,0.0001525233,0.001051731,0.0005144497,0.0281224],"genre_scores_gemma":[0.9432142,0.0006294523,0.03210281,0.0002212938,0.00006175711,0.0002187778,0.0003785709,0.000084821,0.02308835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006061758,"threshold_uncertainty_score":0.01209337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656694476737461,"score_gpt":0.2729515139658327,"score_spread":0.2463845691984581,"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."}}