{"id":"W2967952844","doi":"10.1002/9781119011866.ch19","title":"ATMOSPHERIC PROPAGATION","year":2017,"lang":"en","type":"other","venue":"","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Terrain; Troposphere; Multipath propagation; Radio propagation; Remote sensing; Atmospheric refraction; Geology; Atmosphere (unit); Refraction; SIGNAL (programming language); Computer science; Atmospheric model; Line-of-sight; Geodesy; Meteorology; Environmental science; Geography; Telecommunications; Aerospace engineering; Physics; Optics; Engineering","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":[0.0004658639,0.0007604372,0.0004672169,0.001485763,0.001037267,0.002707357,0.001004781,0.0008411322,0.03142234],"category_scores_gemma":[0.0009567204,0.0003086522,0.0004409205,0.001658477,0.0006990177,0.001916815,0.001529061,0.001123906,0.01144576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007793326,"about_ca_system_score_gemma":0.00130964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004560788,"about_ca_topic_score_gemma":0.004011271,"domain_scores_codex":[0.9996288,0.00003807036,0.00001892241,0.00006517561,0.0002152666,0.00003384641],"domain_scores_gemma":[0.9995115,0.000124994,0.0000450576,0.00005054921,0.0002386454,0.00002924269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009661986,0.00005275516,0.002445891,0.002732188,0.00004689127,0.0005996847,0.0004590808,0.004241633,0.01029334,0.1021448,0.05999692,0.8168902],"study_design_scores_gemma":[0.000005812814,0.00004887349,0.001852042,0.0004870623,0.00003519786,0.000662494,0.0002121689,0.001443918,0.003137294,0.009728262,0.9823582,0.00002871043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01537398,0.2592244,0.1001174,0.006403073,0.01157471,0.0001628325,0.002168342,0.001391495,0.6035839],"genre_scores_gemma":[0.1762519,0.5435565,0.03248007,0.002010813,0.008742272,0.0000951174,0.002608022,0.0006683215,0.233587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03142234,"threshold_uncertainty_score":0.1051182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003232834652715,"score_gpt":0.2193711607088537,"score_spread":0.2093388323623266,"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."}}