{"id":"W4391584177","doi":"10.1109/eleco60389.2023.10415984","title":"Calculating Path Loss for Stratospheric Channels During High Solar Activity","year":2023,"lang":"en","type":"article","venue":"","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Path loss; Attenuation; Ionosphere; Satellite; Aerospace engineering; Channel (broadcasting); Effects of high altitude on humans; Remote sensing; Environmental science; Communications satellite; Meteorology; Computer science; Physics; Telecommunications; Wireless; Geology; Geophysics; Engineering; Optics","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":[0.0002460848,0.0004417742,0.0002248074,0.0005657538,0.0003279365,0.0004580031,0.000433971,0.0004145038,0.001075495],"category_scores_gemma":[0.0008565729,0.0001222306,0.0003305836,0.0008642932,0.0002593164,0.0006069014,0.0002923275,0.0002223738,0.0001558257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000497574,"about_ca_system_score_gemma":0.0004151157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026212,"about_ca_topic_score_gemma":0.007065889,"domain_scores_codex":[0.9998927,0.00002800974,0.000003441432,0.00001741401,0.00002643205,0.00003198623],"domain_scores_gemma":[0.9996173,0.000236267,0.00005277397,0.00002519818,0.00005467325,0.00001373096],"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":[0.0000357102,0.00002181899,0.004500987,0.00002561542,0.00001303244,0.0001395375,0.00004162812,0.9866011,0.002718461,0.001327321,0.000167951,0.004406845],"study_design_scores_gemma":[0.00000386757,0.00002992772,0.002169122,0.000003666438,0.000008060862,0.00006046344,0.00004335665,0.9961857,0.0008686958,0.0004869026,0.0001333725,0.000006949135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821471,0.0005463328,0.1098467,0.0001148978,0.00002639064,0.00003039039,0.0004460967,0.0002522542,0.0065898],"genre_scores_gemma":[0.9933124,0.0002382725,0.005294713,0.00001303693,0.000005026485,0.00001364149,0.0001324655,0.00002213464,0.0009683715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026212,"threshold_uncertainty_score":0.02040482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00870153821963308,"score_gpt":0.2315109443942731,"score_spread":0.22280940617464,"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."}}