{"id":"W3094115446","doi":"10.1029/2020sw002572","title":"Characterizing Auroral‐Zone Absorption Based on Global <i>Kp</i> and Regional Geomagnetic Hourly Range Indices","year":2020,"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":"University of Calgary; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Riometer; Earth's magnetic field; Geomagnetic latitude; Absorption (acoustics); Atmospheric sciences; Physics; Correlation coefficient; Magnetometer; Latitude; Linear correlation; Magnetic field; Environmental science; Computational physics; Ionosphere; Geophysics; Mathematics; Statistics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004843268,0.0001938254,0.0001736401,0.000009734182,0.00008034481,0.00007199852,0.00009821168,0.00005434357,0.00099298],"category_scores_gemma":[0.000002051924,0.0001825596,0.00007175195,0.0001278991,0.00004907643,0.0001171374,0.00002994975,0.0001290651,0.0001380721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001747713,"about_ca_system_score_gemma":0.0000362098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002938095,"about_ca_topic_score_gemma":0.00002244354,"domain_scores_codex":[0.9991497,0.0000343279,0.0001234863,0.0002939714,0.0001617458,0.0002367036],"domain_scores_gemma":[0.9995897,0.00002092283,0.00009380622,0.0001390538,0.00002395224,0.0001325016],"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":[0.00176255,0.001142992,0.6187524,0.0002746333,0.0003540708,0.00006656502,0.004975346,0.001281642,0.02788471,0.07798661,0.0331211,0.2323975],"study_design_scores_gemma":[0.0138821,0.004105715,0.4232695,0.0004136606,0.0004485717,0.000009626813,0.003920707,0.09422191,0.001042809,0.004523601,0.4507619,0.003399881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659464,0.0001200001,0.00549514,0.00810454,0.0001134459,0.000260699,0.00009207455,0.00008167423,0.01978598],"genre_scores_gemma":[0.995688,0.000005334972,0.0008103259,0.002221986,0.0004399798,0.00001528789,0.0000620873,0.00002541728,0.0007315992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4176408,"threshold_uncertainty_score":0.9999202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008602218911984812,"score_gpt":0.2071689862277998,"score_spread":0.198566767315815,"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."}}