{"id":"W2791188648","doi":"10.1002/2017rs006263","title":"Pilot Ionosonde Network for Identification of Traveling Ionospheric Disturbances","year":2018,"lang":"en","type":"article","venue":"Radio Science","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Universitat Ramon Llull; Air Force Research Laboratory; Solar-Terrestrial Centre of Excellence; Generalitat de Catalunya; European Commission; Sight Research UK; Natural Environment Research Council; Southwest Research Institute; North Atlantic Treaty Organization","keywords":"Ionosonde; Ionosphere; Remote sensing; Geology; Geodesy; Computer science; Satellite; Meteorology; Electron density; Geophysics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000759537,0.0004181875,0.0002547209,0.0008825273,0.0001769181,0.0003777717,0.0004147336,0.000232458,0.001883152],"category_scores_gemma":[0.0009633362,0.00007609297,0.0001169196,0.0005839752,0.0001313665,0.0003586978,0.0007450386,0.0002566411,0.001065535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196171,"about_ca_system_score_gemma":0.0003697942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00511208,"about_ca_topic_score_gemma":0.007385316,"domain_scores_codex":[0.9996996,0.0000772345,0.00001702473,0.00007119174,0.00008157636,0.00005331129],"domain_scores_gemma":[0.9993224,0.00007272117,0.00007191604,0.0001450692,0.0002720606,0.0001158257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005561028,0.0006960847,0.4131396,0.0003932575,0.0003344157,0.001246436,0.0009532127,0.02502713,0.1145815,0.002844332,0.09759568,0.3376273],"study_design_scores_gemma":[0.0008995952,0.001512953,0.480056,0.0001125103,0.0001235165,0.0004269989,0.001085561,0.365626,0.04336035,0.001388593,0.1053036,0.00010424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886281,0.0003381528,0.0437552,0.0004397295,0.0002645939,0.0007725814,0.04240507,0.01016904,0.01322745],"genre_scores_gemma":[0.8604552,0.00009852012,0.04967676,0.00009834692,0.0000586611,0.0004194085,0.08371639,0.0002269268,0.005249706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00511208,"threshold_uncertainty_score":0.01016468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049337352221016,"score_gpt":0.2510120222484485,"score_spread":0.2405186487262384,"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."}}