{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005086351,0.0001103554,0.0001333839,0.00150972,0.0001440476,0.000542926,0.0001802786,0.00009824591,0.002086763],"category_scores_gemma":[0.003587281,0.00006869615,0.0001561958,0.001543228,0.00008830629,0.0002766164,0.0001776868,0.0001855036,0.0005390106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034834,"about_ca_system_score_gemma":0.000166797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0042898,"about_ca_topic_score_gemma":0.00462267,"domain_scores_codex":[0.9996313,0.00007619994,0.00003429305,0.00005816623,0.0001550854,0.00004499738],"domain_scores_gemma":[0.9982324,0.0006657754,0.0002844185,0.0002209435,0.0005085329,0.00008798437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000277183,0.0000685733,0.6434867,0.0001161848,0.0001769081,0.0003168875,0.0003338011,0.100799,0.005411398,0.003768984,0.006798223,0.2384462],"study_design_scores_gemma":[0.000008514754,0.00005402398,0.8286669,0.00002798368,0.0000167483,0.0003286674,0.0003462044,0.1543603,0.002057717,0.001819031,0.01229248,0.00002133488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238362,0.0005078761,0.0419873,0.0001759095,0.00006322018,0.0000610365,0.01025433,0.0007412234,0.02237289],"genre_scores_gemma":[0.9913096,0.00008578618,0.004142612,0.000009127663,0.00001603174,0.00001397542,0.003256599,0.00003113994,0.001135045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0042898,"threshold_uncertainty_score":0.008529663,"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."}}