{"id":"W2097531563","doi":"10.1002/2015rs005652","title":"Techniques to determine the quiet day curve for a long period of subionospheric VLF observations","year":2015,"lang":"en","type":"article","venue":"Radio Science","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Environment Research Council; Sight Research UK","keywords":"QUIET; Ionosphere; Smoothing; Fast Fourier transform; Geology; Data set; Space weather; Geodesy; Geophysics; Remote sensing; Meteorology; Mathematics; Physics; Algorithm; Statistics; Astronomy","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":[],"consensus_categories":[],"category_scores_codex":[0.0005383499,0.00009931012,0.0001291689,0.00001512606,0.0001853176,0.00006960269,0.000518407,0.00001749173,0.0000385599],"category_scores_gemma":[0.00005429623,0.00007249127,0.00005889407,0.0006269341,0.0002319235,0.0002667252,0.00008160857,0.00005140055,0.000005878324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004066984,"about_ca_system_score_gemma":0.0003274396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001929487,"about_ca_topic_score_gemma":0.00004674656,"domain_scores_codex":[0.9991485,0.0000166895,0.0001809053,0.0002144404,0.0001922497,0.0002472512],"domain_scores_gemma":[0.9991528,0.00005448945,0.0000878146,0.0003307848,0.0002620284,0.0001120174],"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":[0.0001171398,0.0006919938,0.2551234,0.00006378246,0.00007881327,0.00000299662,0.01517272,0.003203209,0.05544692,0.2137303,0.02948986,0.4268789],"study_design_scores_gemma":[0.003289088,0.004194094,0.1933637,0.0002843587,0.000265426,0.00002827869,0.01436027,0.2285648,0.2267772,0.03510829,0.2907225,0.003041996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6609979,0.00004645917,0.3322435,0.0009638065,0.0003141261,0.0008171769,0.00003932476,0.00004590078,0.004531781],"genre_scores_gemma":[0.9637669,6.319382e-7,0.03498804,0.00009608893,0.0001379861,0.000095986,0.000007719938,0.000009409438,0.0008972628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4238369,"threshold_uncertainty_score":0.2956108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907431115080188,"score_gpt":0.2712156794797259,"score_spread":0.242141368328924,"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."}}