{"id":"W2618110009","doi":"10.1109/piers.2017.8262070","title":"Developments in HF propagation predictions to support communications with aircraft on trans-polar routes","year":2017,"lang":"en","type":"article","venue":"2017 Progress In Electromagnetics Research Symposium - Spring (PIERS)","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Engineering and Physical Sciences Research Council; University of Leicester","keywords":"Nowcasting; Polar; Air traffic control; Meteorology; Environmental science; Range (aeronautics); Computer science; Telecommunications; Aeronautics; Aerospace engineering; Geography; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009297317,0.0002891748,0.0002925668,0.0002976659,0.001007465,0.000481554,0.001643674,0.0001169378,0.00004644168],"category_scores_gemma":[0.00002606255,0.0002854924,0.00005375926,0.0004058847,0.0004384294,0.0003961629,0.0003554641,0.00107165,0.00005284958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870645,"about_ca_system_score_gemma":0.0005581269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008648969,"about_ca_topic_score_gemma":0.002352918,"domain_scores_codex":[0.997017,0.0001972462,0.0004317856,0.0005712656,0.0006916852,0.001091039],"domain_scores_gemma":[0.9975935,0.00009631982,0.0001449426,0.001652617,0.0002815877,0.000231002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003833833,0.001799148,0.8938541,0.00009261456,0.0001239074,0.0000421848,0.002198639,0.0006741961,0.003674428,0.03374968,0.0005427118,0.06286503],"study_design_scores_gemma":[0.0084247,0.01236896,0.8734474,0.001522009,0.0001000509,0.00001300278,0.001207737,0.03507585,0.009405129,0.002289478,0.05373031,0.002415334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8996743,0.0002405814,0.002059546,0.006345272,0.0002264149,0.003754942,0.00006982477,0.0001168876,0.08751221],"genre_scores_gemma":[0.9891648,0.0001033174,0.00844282,0.00001921657,0.00009949281,0.0008149692,0.00006880487,0.00005730767,0.001229301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08949045,"threshold_uncertainty_score":0.9999597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896427555755658,"score_gpt":0.3379922884369779,"score_spread":0.3090280128794213,"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."}}