{"id":"W2810744109","doi":"10.5194/angeo-37-215-2019","title":"Local time extent of magnetopause reconnection using space–ground coordination","year":2019,"lang":"en","type":"article","venue":"Annales Geophysicae","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Air Force Office of Scientific Research; National Aeronautics and Space Administration; National Science Foundation","keywords":"Magnetopause; Physics; Spacecraft; Magnetic reconnection; Ionosphere; Geophysics; Jet (fluid); Astrophysics; Magnetosphere; Mechanics; Astronomy; Magnetic field","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":[0.0003721481,0.0001844672,0.000184135,0.001427465,0.0001816927,0.0005361177,0.0001973376,0.0000899384,0.00150505],"category_scores_gemma":[0.001419638,0.00006996111,0.0001624188,0.0015613,0.0001802704,0.0003529098,0.0003337968,0.0001550845,0.0001565475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003827442,"about_ca_system_score_gemma":0.0001833526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008695776,"about_ca_topic_score_gemma":0.007304472,"domain_scores_codex":[0.9997936,0.00003690455,0.00001219891,0.00008950968,0.00004112342,0.00002679691],"domain_scores_gemma":[0.9989663,0.0003184921,0.000409449,0.0001007796,0.0001121167,0.00009295754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000554799,0.00005075423,0.8620546,0.00006518395,0.0002277497,0.000237137,0.0003120995,0.07753418,0.004602568,0.001578566,0.001977944,0.05080448],"study_design_scores_gemma":[0.00002171918,0.00005951807,0.9188867,0.000009205437,0.00004222685,0.000114132,0.0002541127,0.07694656,0.001117938,0.0006253477,0.001904812,0.00001775681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871088,0.0002074188,0.005659114,0.00004541576,0.000008182055,0.00001594543,0.001952455,0.0001294325,0.004873309],"genre_scores_gemma":[0.998202,0.00002015297,0.0009033448,0.000002257453,0.000004772588,0.000005155646,0.0006733761,0.000005246369,0.0001836857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008695776,"threshold_uncertainty_score":0.01729035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0066284251814787,"score_gpt":0.2164008499552441,"score_spread":0.2097724247737655,"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."}}