{"id":"W2941546110","doi":"10.1109/tgrs.2019.2905757","title":"High-Frequency Ionospheric Monitoring System for Over-the-Horizon Radar in Canada","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Defence Research and Development Canada","funders":"","keywords":"Over-the-horizon radar; Radar; Elevation (ballistics); Remote sensing; Ionosphere; Transmitter; Elevation angle; Skywave; Radar tracker; Computer science; Range (aeronautics); Geology; Geodesy; Environmental science; Meteorology; Telecommunications; Aerospace engineering; Geophysics; Azimuth; Optics; Geography; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003372772,0.0002040624,0.0001735966,0.0001892796,0.0008014559,0.0004835692,0.0005500226,0.0001864934,0.001158713],"category_scores_gemma":[0.0003172701,0.00006917267,0.0001198027,0.000435891,0.0001767772,0.0002831997,0.0002868823,0.0002515206,0.0001914242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003852296,"about_ca_system_score_gemma":0.009683249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.791153,"about_ca_topic_score_gemma":0.8691452,"domain_scores_codex":[0.9998224,0.00002010575,0.00000284289,0.00002237194,0.00008166633,0.00005058476],"domain_scores_gemma":[0.9997855,0.00001259866,0.00001020302,0.00001094632,0.0001377691,0.00004298285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002667852,0.0004657742,0.1527846,0.0003379172,0.0001644662,0.0006083052,0.001877755,0.195806,0.2780934,0.01087423,0.0295345,0.3267851],"study_design_scores_gemma":[0.0003358677,0.0006135807,0.1120434,0.00005900427,0.0001711788,0.0001960814,0.001199677,0.7921999,0.04828794,0.001216965,0.04353909,0.0001372566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902913,0.0003830692,0.06130102,0.0005259569,0.00006034058,0.0002829548,0.002106508,0.002448221,0.02997887],"genre_scores_gemma":[0.9662064,0.0001044136,0.03047319,0.00004232991,0.000003579222,0.00002230038,0.000812794,0.00002112514,0.002313895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.208847,"threshold_uncertainty_score":0.4201538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004908749125973784,"score_gpt":0.1958192525882618,"score_spread":0.190910503462288,"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."}}