{"id":"W4206691640","doi":"10.3319/tao.2021.08.01.01","title":"Day-to-day variability of ionosphere electron density during solar minimum derived from FORMOSAT-7/COSMIC-2 measurements","year":2021,"lang":"en","type":"article","venue":"Terrestrial Atmospheric and Oceanic Sciences","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Smithsonian Astrophysical Observatory; National Space Organization; National Science Foundation","keywords":"Ionosphere; COSMIC cancer database; Atmospheric sciences; Electron density; Electron; Physics; Environmental science; Meteorology; Astronomy; Nuclear 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006791028,0.0003053017,0.0004832822,0.000003537094,0.0004079949,0.0001228509,0.0003760309,0.00008635269,0.0006397328],"category_scores_gemma":[0.0001335454,0.0002780229,0.0001494937,0.0005303993,0.0002187849,0.0002982408,0.0002460929,0.0001698688,0.00001249871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005651298,"about_ca_system_score_gemma":0.0005267905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241607,"about_ca_topic_score_gemma":0.0001615008,"domain_scores_codex":[0.9975095,0.0002337512,0.0005264748,0.0007461857,0.0004325857,0.0005514757],"domain_scores_gemma":[0.9988275,0.0002630832,0.0002388369,0.0003580397,0.0001032149,0.0002093525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004490493,0.0008261268,0.7816051,0.00006026413,0.0004688202,0.00001508803,0.002168301,0.0007514921,0.1659889,0.00175967,0.0006959031,0.04521134],"study_design_scores_gemma":[0.008259283,0.001202733,0.6804805,0.0003325568,0.0004668056,0.000009451929,0.006213836,0.01734656,0.2451216,0.0368732,0.001262883,0.002430565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856507,0.0001830684,0.01080865,0.00009045543,0.0006214014,0.0002960606,0.00002228253,0.00003996547,0.002287373],"genre_scores_gemma":[0.9919829,0.00001800353,0.007360679,0.00006117986,0.0003551433,0.000008517807,0.00002385099,0.00001689467,0.000172799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1011246,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446835738462927,"score_gpt":0.2332361186368405,"score_spread":0.2187677612522113,"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."}}