{"id":"W2109340897","doi":"10.1002/2015sw001184","title":"Analysis of geomagnetic hourly ranges","year":2015,"lang":"en","type":"article","venue":"Space Weather","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Geomagnetic storm; Log-normal distribution; Earth's magnetic field; Extrapolation; Range (aeronautics); Logarithm; Meteorology; Environmental science; Declination; Storm; Atmospheric sciences; Geodesy; Geology; Statistics; Mathematics; Physics; Astrophysics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008469968,0.0001022721,0.0002260557,0.00004260554,0.0000165449,0.00001386359,0.0001088294,0.00002896027,0.002305289],"category_scores_gemma":[0.000002918871,0.00008934071,0.0001469407,0.0003916703,0.00003736696,0.00004939226,0.00002756024,0.00005256417,0.00006950859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009062419,"about_ca_system_score_gemma":0.00003889034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376385,"about_ca_topic_score_gemma":0.0001313906,"domain_scores_codex":[0.9994453,0.00002331539,0.0001159002,0.0001347793,0.0001245719,0.0001561128],"domain_scores_gemma":[0.9995106,0.00001802025,0.00007362577,0.0002446463,0.00007620222,0.00007683901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009693828,0.0005258572,0.8231389,0.00001670126,0.003508997,0.000004668156,0.004077219,0.008966154,0.002182012,0.0747706,0.01998725,0.06272469],"study_design_scores_gemma":[0.01165495,0.002463373,0.3717722,0.00009638315,0.01642015,0.000002580636,0.03313558,0.10648,0.008161743,0.0461348,0.3998056,0.003872626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8215361,0.0002376158,0.006367918,0.0002232285,0.0001069952,0.00009626066,0.0000379906,0.0000256609,0.1713682],"genre_scores_gemma":[0.9821618,0.000001586262,0.0009374763,0.00002099821,0.00008545308,0.00000621871,0.00002641253,0.00001428685,0.01674582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4513667,"threshold_uncertainty_score":0.9986067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008659169664877935,"score_gpt":0.2253771356433969,"score_spread":0.216717965978519,"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."}}