{"id":"W4390907300","doi":"10.22541/essoar.170542196.62700911/v1","title":"The Ionospheric Leg of the Substorm Current Wedge: Combining Iridium and Ground Magnetometers","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd; Università degli Studi dell'Aquila; Sveriges Geologiska Undersökning; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; European Commission; Trond Mohn stiftelse; Florida Institute of Technology; Alberta Agricultural Research Institute","keywords":"Substorm; Electrojet; Ionosphere; Magnetometer; Geophysics; Wedge (geometry); Current (fluid); Magnetic field; Physics; Geology; Geodesy; Earth's magnetic field; Magnetosphere","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003792518,0.000296781,0.0002613463,0.000595985,0.0001339783,0.0005410129,0.0003886709,0.0002318104,0.0002886885],"category_scores_gemma":[0.0008942769,0.0001468026,0.0003285758,0.0009304925,0.0001621702,0.0005564388,0.0004684743,0.0001666183,0.00007400563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987034,"about_ca_system_score_gemma":0.0002026783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005743043,"about_ca_topic_score_gemma":0.006629424,"domain_scores_codex":[0.9998884,0.00003034077,0.000007795515,0.00002941578,0.00002285533,0.00002120136],"domain_scores_gemma":[0.9997784,0.00005615371,0.00005642744,0.0000465031,0.00003783607,0.00002469945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006345568,0.0001155266,0.7532594,0.0001112206,0.0001815009,0.0009553355,0.000632048,0.1092976,0.05407833,0.001210208,0.0003659569,0.07915835],"study_design_scores_gemma":[0.00004613835,0.0001873162,0.5929794,0.00003615036,0.0001285626,0.0002217566,0.0002964393,0.3915621,0.01273633,0.0006913473,0.001079077,0.00003539828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991653,0.0000741473,0.006894065,0.0000143549,0.000004166879,0.00001676713,0.0001206072,0.00008188321,0.00114103],"genre_scores_gemma":[0.996453,0.00003337934,0.003238843,0.000003901628,0.000004714531,0.000005028197,0.000174094,0.00001059613,0.00007634686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005743043,"threshold_uncertainty_score":0.01141924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008928604646701576,"score_gpt":0.2365164276605815,"score_spread":0.2275878230138799,"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."}}