{"id":"W2987783205","doi":"10.1029/2019gl082789","title":"Identifying STEVE's Magnetospheric Driver Using Conjugate Observations in the Magnetosphere and on the Ground","year":2019,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; University of Saskatchewan; University of Calgary","funders":"National Aeronautics and Space Administration","keywords":"Plasmasphere; Physics; Electron precipitation; Magnetosphere; Geophysics; Electron; Substorm; Van Allen radiation belt; Electric field; Field line; Ionosphere; Ion; Computational physics; Plasma; Atmospheric sciences; Atomic physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001708537,0.0001579855,0.0001705012,0.0004185823,0.0002214569,0.0003768071,0.000157269,0.0002479231,0.0006388991],"category_scores_gemma":[0.0002826502,0.0001517532,0.0001623342,0.0003142009,0.0001742146,0.0002854866,0.0004063268,0.0002366578,0.0001153554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162785,"about_ca_system_score_gemma":0.0001094808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948908,"about_ca_topic_score_gemma":0.007651628,"domain_scores_codex":[0.9999192,0.000009696044,0.000001960539,0.00002581074,0.00001665562,0.00002666709],"domain_scores_gemma":[0.9998765,0.00002290559,0.00003137238,0.00001840657,0.00002495044,0.0000259256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005472635,0.00009791087,0.6218315,0.00004566699,0.0001303462,0.0004402045,0.0006831361,0.002278992,0.3457608,0.000824926,0.0005136657,0.02684574],"study_design_scores_gemma":[0.00001118648,0.00007373426,0.9877996,0.000006100348,0.00001841125,0.0001082079,0.0001275207,0.003055912,0.007809251,0.00009146897,0.0008914987,0.000007024103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972819,0.00003374537,0.0006965745,0.00001590192,0.000003554214,0.000006320121,0.0001527404,0.00002850249,0.001780708],"genre_scores_gemma":[0.9992286,0.00001416496,0.0004289093,0.000007541705,0.000003070616,0.000002947853,0.0001285897,0.000005507304,0.0001806808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002948908,"threshold_uncertainty_score":0.005863488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139372664817662,"score_gpt":0.30029496874266,"score_spread":0.2489012420944834,"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."}}