{"id":"W2268272936","doi":"10.5194/angeo-34-227-2016","title":"Seasonal and solar cycle variations in the ionospheric convection reversal boundary location inferred from monthly SuperDARN data sets","year":2016,"lang":"en","type":"article","venue":"Annales Geophysicae","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Saskatchewan","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Interplanetary magnetic field; Latitude; Ionosphere; Atmospheric sciences; Convection; Dusk; High latitude; Solar cycle; Geology; Climatology; Environmental science; Geophysics; Geodesy; Solar wind; Physics; Meteorology; Plasma; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005230127,0.0001854629,0.0002130557,0.001411433,0.0001443438,0.0003223194,0.00019458,0.0001557276,0.000855559],"category_scores_gemma":[0.001052241,0.0000859159,0.0002002766,0.001418621,0.000106261,0.0002295159,0.0002386195,0.0001208819,0.0001316234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303043,"about_ca_system_score_gemma":0.0002670313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970285,"about_ca_topic_score_gemma":0.03008839,"domain_scores_codex":[0.9998114,0.00003058671,0.00002225754,0.00005040818,0.00004929075,0.00003601885],"domain_scores_gemma":[0.9992955,0.0001445949,0.0002551994,0.00007238792,0.0001477691,0.00008461939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002289879,0.00003903424,0.9775248,0.00005874286,0.0001241405,0.0001280768,0.0001406268,0.003891001,0.004838784,0.0001982863,0.0016734,0.01115427],"study_design_scores_gemma":[0.000003845716,0.00001269037,0.9960985,0.00000587464,0.00001490223,0.00003982287,0.00004146341,0.002309282,0.0005088904,0.00001753869,0.0009421767,0.000005045952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923989,0.0001353733,0.0002452363,0.00002462878,0.000008159657,0.000004864642,0.006401172,0.00001720829,0.0007644712],"genre_scores_gemma":[0.9851285,0.00008797792,0.0005410574,0.000009267977,0.000009451745,0.000007865518,0.01403625,0.000005485782,0.0001742037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01970285,"threshold_uncertainty_score":0.03917634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116328378553152,"score_gpt":0.232115761352058,"score_spread":0.2209524775665265,"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."}}