{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001308778,0.0001628367,0.0001548614,0.00001123503,0.0001903028,0.0001051491,0.0003058175,0.0000450939,0.0001832831],"category_scores_gemma":[0.0000140722,0.0001156095,0.00003929476,0.0001633809,0.00009381169,0.0007397537,0.000126414,0.0001315531,0.00009968015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002037908,"about_ca_system_score_gemma":0.0001257657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147789,"about_ca_topic_score_gemma":0.0004455833,"domain_scores_codex":[0.9989604,0.0001040565,0.000194832,0.0003598258,0.0001593073,0.0002215929],"domain_scores_gemma":[0.9990702,0.0001896758,0.00008853646,0.0005308187,0.0000722433,0.00004855642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001433846,0.001065069,0.1933159,0.00003066306,0.0003598837,0.000008610929,0.003477172,0.0003016432,0.001832552,0.03907417,0.01953382,0.7408571],"study_design_scores_gemma":[0.001813632,0.0001300267,0.8189253,0.0000905287,0.0001305016,0.000001448335,0.00139382,0.07005703,0.00007006576,0.07177425,0.03503494,0.0005784111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97962,0.0001635705,0.01521906,0.001833476,0.0002298278,0.0002799774,0.0005999739,0.00003660647,0.002017487],"genre_scores_gemma":[0.9977224,0.0000160358,0.0004419153,0.0001720136,0.0004352478,0.00002940055,0.0009894018,0.00001629638,0.00017732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7402787,"threshold_uncertainty_score":0.4758536,"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."}}