{"id":"W2963836561","doi":"","title":"Modeling the recovery phase of extreme geomagnetic storms","year":2013,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Junta de Comunidades de Castilla-La Mancha; Comisión Interministerial de Ciencia y Tecnología; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Geomagnetic storm; Storm; Blackout; Magnetosphere; Exponential function; Intensity (physics); Meteorology; Event (particle physics); Phase (matter); Environmental science; Climatology; Atmospheric sciences; Geology; Physics; Earth's magnetic field; Mathematics; Mathematical analysis; Astrophysics; Magnetic field","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":[0.0002354528,0.0003378636,0.0003602288,0.0002785723,0.0002473852,0.000547449,0.000848217,0.0009500993,0.001487798],"category_scores_gemma":[0.001136082,0.0002875233,0.0004009439,0.0002609208,0.0004147465,0.0005360063,0.000507055,0.0005858392,0.0001905276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008975061,"about_ca_system_score_gemma":0.0008866953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05279445,"about_ca_topic_score_gemma":0.02324786,"domain_scores_codex":[0.999929,0.00001244903,0.000003397691,0.00001721376,0.00001090142,0.00002701723],"domain_scores_gemma":[0.9998028,0.00007545437,0.00004659141,0.00001081174,0.00003725653,0.00002707107],"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":[0.00003974748,0.00002116474,0.003021044,0.00001596066,0.00001105533,0.00008159169,0.00004016664,0.9900553,0.001314758,0.002753594,0.0003746879,0.002270952],"study_design_scores_gemma":[0.00000465121,0.000005005526,0.0005541638,0.000001554931,0.00000231732,0.000006917553,0.00001111842,0.9987785,0.00009219456,0.0003559458,0.0001852177,0.000002329005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673872,0.0004146277,0.1177015,0.0007080767,0.00005916239,0.0000773201,0.0008263545,0.000322127,0.01250353],"genre_scores_gemma":[0.9932082,0.0001268657,0.003410145,0.00002394819,0.00001387086,0.0000223155,0.0001840178,0.00003617555,0.002974409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05279445,"threshold_uncertainty_score":0.1049743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971605144579321,"score_gpt":0.2331629630610075,"score_spread":0.2134469116152143,"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."}}