{"id":"W3088647994","doi":"10.1590/2179-10742020v19i3791","title":"Error Analysis of the Numerical Method for Correcting the Propagation of EM waves in the Troposphere","year":2020,"lang":"en","type":"article","venue":"Journal of Microwaves Optoelectronics and Electromagnetic Applications","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Ottawa","funders":"","keywords":"Troposphere; Error analysis; Propagation of uncertainty; Mathematics; Geology; Meteorology; Statistics; Atmospheric sciences; Applied mathematics; Physics","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":[0.00209945,0.0005244761,0.0003868079,0.0008154942,0.0006205302,0.000654163,0.0008628963,0.0008456277,0.001281993],"category_scores_gemma":[0.006608753,0.0001780138,0.0005693275,0.0004808989,0.0006555604,0.0007087499,0.0007251108,0.0008552545,0.000319872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005620739,"about_ca_system_score_gemma":0.001254273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006223861,"about_ca_topic_score_gemma":0.002751016,"domain_scores_codex":[0.9987877,0.0003053336,0.00007195231,0.00011726,0.0006580892,0.00005974222],"domain_scores_gemma":[0.9970475,0.001059368,0.0001977864,0.0002821861,0.0013653,0.00004790935],"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":[0.0005298434,0.0001461955,0.01182974,0.0007656467,0.0001532011,0.0003449451,0.0005919253,0.5709587,0.08024196,0.05569464,0.002907744,0.2758353],"study_design_scores_gemma":[0.000011236,0.00005412853,0.0008597536,0.00003284712,0.00001460732,0.00007133908,0.0000313911,0.9834098,0.01187736,0.001743804,0.001869215,0.00002462445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03439728,0.0007522993,0.9608883,0.0002980771,0.0002145,0.00004984746,0.0000462826,0.0002553462,0.003098029],"genre_scores_gemma":[0.5479367,0.001107628,0.4456987,0.0001103554,0.0001198112,0.000155834,0.00017542,0.0002489056,0.004446629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006223861,"threshold_uncertainty_score":0.01237524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960074834244126,"score_gpt":0.2560586830455192,"score_spread":0.2464579347030779,"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."}}