{"id":"W3042274577","doi":"10.3390/rs12142259","title":"A Comparative Study of Estimating Auroral Electron Energy from Ground-Based Hyperspectral Imagery and DMSP-SSJ5 Particle Data","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Satellite; Electron precipitation; Physics; Electron; Computational physics; Remote sensing; Environmental science; Defense Meteorological Satellite Program; Atmosphere (unit); Meteorology; Atmospheric sciences; Plasma; Geology; Astronomy; Magnetosphere","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":[0.0007419685,0.000470376,0.0002509113,0.001273676,0.0001855834,0.0005920897,0.0003605952,0.000422806,0.0004102988],"category_scores_gemma":[0.001946226,0.0001616173,0.0003397605,0.0008066879,0.0001489293,0.0007512663,0.0002794767,0.0001952892,0.0001675375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828622,"about_ca_system_score_gemma":0.0003097423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00671227,"about_ca_topic_score_gemma":0.008968507,"domain_scores_codex":[0.999726,0.00005398844,0.00001671307,0.00007915257,0.00009264681,0.00003161919],"domain_scores_gemma":[0.9995852,0.0001779728,0.00004963116,0.00005823259,0.0001070787,0.00002179713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009966777,0.0003350834,0.2395255,0.0003777994,0.0004394951,0.0006951637,0.0004215967,0.1656935,0.08120152,0.00198959,0.001410363,0.5069137],"study_design_scores_gemma":[0.00002384747,0.0001114805,0.2191316,0.00002227433,0.00009117838,0.0001986744,0.0002983327,0.7534844,0.02459008,0.0004189911,0.001588354,0.0000406961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623238,0.0003118024,0.03532873,0.00004161149,0.00001657992,0.00002459061,0.0003190846,0.0002285799,0.001405061],"genre_scores_gemma":[0.9498821,0.0002216175,0.04811981,0.00001339659,0.00001483041,0.00001413005,0.001287463,0.00004036694,0.0004061938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00671227,"threshold_uncertainty_score":0.01334637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059813959693745,"score_gpt":0.2704942060549133,"score_spread":0.2398960664579759,"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."}}