{"id":"W3049675834","doi":"10.3390/rs12162634","title":"Climatology Characteristics of Ionospheric Irregularities Described with GNSS ROTI","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Goddard Space Flight Center; Ministerstwo Edukacji i Nauki; Narodowym Centrum Nauki; Narodowe Centrum Nauki; Narodowe Centrum Badań i Rozwoju; National Aeronautics and Space Administration","keywords":"Ionosphere; TEC; GNSS applications; Earth's magnetic field; Geology; Geodesy; Latitude; Environmental science; Geophysics; Atmospheric sciences; Meteorology; Satellite; Geography; 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":[0.00003696045,0.0001722475,0.0003574921,0.000007911268,0.00006980813,0.00002701832,0.00008432175,0.0000495728,0.0001368229],"category_scores_gemma":[0.000007016127,0.0001604354,0.00007483172,0.0001607277,0.00009490007,0.00007276821,0.00004830206,0.0001507701,0.00001569533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001095003,"about_ca_system_score_gemma":0.00006728461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001510502,"about_ca_topic_score_gemma":0.000006597764,"domain_scores_codex":[0.9991078,0.00003938391,0.0002730083,0.0002134385,0.0001091487,0.000257232],"domain_scores_gemma":[0.9994097,0.0000381255,0.000177,0.0001773839,0.0001087826,0.00008895186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003186135,0.00008636217,0.01243305,0.0003276857,0.0003649129,0.00007344663,0.004958715,0.0006204222,0.01075155,0.01076649,0.0005400907,0.9587587],"study_design_scores_gemma":[0.003501669,0.0009174315,0.005363725,0.0004895991,0.0004649301,0.00008723595,0.01676909,0.9410242,0.01218877,0.004509629,0.01285797,0.001825704],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.824113,0.00002845134,0.1700027,0.0002742267,0.000106039,0.0001265826,0.00001220895,0.00004577521,0.005291114],"genre_scores_gemma":[0.961293,0.000003532477,0.0381563,0.0001652275,0.0002003879,2.093035e-8,0.0000475881,0.00003139041,0.0001025398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.956933,"threshold_uncertainty_score":0.6542364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021659648720282,"score_gpt":0.2011603457366993,"score_spread":0.1909437492494965,"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."}}