{"id":"W4220963207","doi":"10.1029/2021sw003017","title":"Using Temporal Relationship of Thermospheric Density With Geomagnetic Activity Indices and Joule Heating as Calibration for NRLMSISE‐00 During Geomagnetic Storms","year":2022,"lang":"en","type":"article","venue":"Space Weather","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geomagnetic storm; Earth's magnetic field; Atmospheric sciences; Storm; Environmental science; Joule heating; Thermosphere; Geomagnetic latitude; Space weather; Meteorology; Ionosphere; Physics; Geophysics; Magnetic field","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":[0.000142841,0.0001747724,0.0002125463,0.00002128172,0.0004913145,0.00004108586,0.00008331093,0.00003657404,0.0006666067],"category_scores_gemma":[0.000005905752,0.0001617192,0.00005968951,0.000192197,0.000065512,0.0002134514,0.00008283403,0.0001731701,8.030377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004676206,"about_ca_system_score_gemma":0.000104863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002780739,"about_ca_topic_score_gemma":0.0001433328,"domain_scores_codex":[0.9990799,0.00007712228,0.0001626999,0.000263607,0.0001821222,0.0002345098],"domain_scores_gemma":[0.9994039,0.00007461122,0.0002373234,0.0001869785,0.00004127274,0.00005590349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003422029,0.0002137778,0.9598444,0.00009884034,0.00009145151,0.000002604703,0.002142867,0.01493311,0.01501538,0.004007724,0.00002343983,0.003284218],"study_design_scores_gemma":[0.006034265,0.002920316,0.7475316,0.0001287414,0.0004769414,0.0000420336,0.01559767,0.2058259,0.007446043,0.01189093,0.000551222,0.001554314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901634,0.000117854,0.007802662,0.00007373332,0.00005272293,0.0004943558,0.00002215802,0.00002720035,0.001245929],"genre_scores_gemma":[0.9933622,7.041289e-7,0.004912457,0.0000107356,0.00007201389,0.00005859575,0.0000162402,0.0000402158,0.001526865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2123128,"threshold_uncertainty_score":0.7298876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026539830711778,"score_gpt":0.2270343359585622,"score_spread":0.2167689376514444,"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."}}