{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003869322,0.0000913441,0.0001247878,0.000008982885,0.0003410798,0.00006051559,0.0003545746,0.00001074494,0.0001123972],"category_scores_gemma":[0.00001621153,0.00008481739,0.00005246069,0.0005191988,0.0004621804,0.0002672799,0.0000266628,0.00004069036,0.00001408323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002298901,"about_ca_system_score_gemma":0.0001374861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009241986,"about_ca_topic_score_gemma":0.00001262416,"domain_scores_codex":[0.9990091,0.000009613957,0.0002610993,0.000271981,0.0001609928,0.0002871675],"domain_scores_gemma":[0.999287,0.00005106299,0.0001849476,0.0002271356,0.0001935306,0.00005630214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001226278,0.0004040085,0.0961022,0.00006203674,0.00006303843,2.082524e-7,0.001397097,0.008005217,0.1403684,0.5460601,0.008486807,0.1989282],"study_design_scores_gemma":[0.002265807,0.001940728,0.2230549,0.000160514,0.0001445226,0.000002965431,0.001615864,0.4957725,0.122301,0.1339878,0.01737913,0.001374219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4567399,0.0001014892,0.536206,0.00005287404,0.001184065,0.0002940248,0.00001791382,0.000024469,0.005379267],"genre_scores_gemma":[0.984176,0.000002292546,0.01431368,0.00001782936,0.0007852306,0.00002315354,0.000008331817,0.000008184607,0.0006652591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5274361,"threshold_uncertainty_score":0.3458753,"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."}}