{"id":"W4402423198","doi":"10.1029/2024sw003933","title":"Data Assimilation of Ion Drift Measurements for Estimation of Ionospheric Plasma Drivers","year":2024,"lang":"en","type":"article","venue":"Space Weather","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Nuclear Safety and Security Commission; National Aeronautics and Space Administration","keywords":"Ionosphere; Data assimilation; Plasma; Assimilation (phonology); Environmental science; Ion; Atmospheric sciences; Geodesy; Remote sensing; Meteorology; Physics; Geography; Astronomy; Nuclear physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002502404,0.000323185,0.0002481132,0.0003882463,0.0002032961,0.0002593478,0.0002795295,0.0002201468,0.0005520178],"category_scores_gemma":[0.00077958,0.0001794777,0.0002447499,0.0004052092,0.00009362609,0.0002901182,0.0003250907,0.0002931268,0.0001746031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639183,"about_ca_system_score_gemma":0.0005729868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233169,"about_ca_topic_score_gemma":0.0330664,"domain_scores_codex":[0.9999081,0.00001899622,0.000005764602,0.00002614946,0.00003075224,0.00001030268],"domain_scores_gemma":[0.9997622,0.00004127973,0.0000325752,0.00005754849,0.0000934188,0.00001296809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001033144,0.0003033119,0.1618341,0.0001162268,0.0003333024,0.0001585686,0.0002237049,0.5142995,0.1063847,0.0006947175,0.002904541,0.2117142],"study_design_scores_gemma":[0.00004445551,0.00009677961,0.0763146,0.00001078856,0.00003132737,0.00002430116,0.00005133622,0.9055582,0.01606265,0.0001787408,0.001602368,0.00002448594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544513,0.0001487885,0.04089805,0.00008097557,0.00006961038,0.00004992063,0.001411012,0.0008807222,0.002009552],"genre_scores_gemma":[0.9747818,0.00005064475,0.02292645,0.00001734209,0.000007205621,0.00002148331,0.00175445,0.00002494476,0.0004156197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233169,"threshold_uncertainty_score":0.04440337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797169315723052,"score_gpt":0.2765132734912242,"score_spread":0.2485415803339937,"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."}}