{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000263778,0.0002252597,0.0001788234,0.00144353,0.0001472658,0.0004337303,0.0001908659,0.0002028016,0.0005335603],"category_scores_gemma":[0.001000888,0.00007510347,0.0001948416,0.001813726,0.0001995725,0.0002642721,0.0002851621,0.0001786225,0.000168719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260901,"about_ca_system_score_gemma":0.0001295716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005754495,"about_ca_topic_score_gemma":0.007262582,"domain_scores_codex":[0.999835,0.00001348399,0.00001949558,0.00005892947,0.00004389209,0.00002909868],"domain_scores_gemma":[0.9994577,0.00007720086,0.000226246,0.00006604403,0.0001246429,0.0000481656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001069373,0.00001772725,0.965266,0.0000612979,0.0001013005,0.0002954697,0.0003466793,0.01260092,0.0072624,0.0003326809,0.00124619,0.01236235],"study_design_scores_gemma":[0.000002952991,0.00001809603,0.9910027,0.000006969113,0.00001753496,0.0001550555,0.0001101638,0.006688674,0.0005352396,0.00006398185,0.00139039,0.000008245813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939901,0.0001819915,0.001363548,0.00002346587,0.00001049225,0.00001312388,0.002464876,0.000107121,0.00184525],"genre_scores_gemma":[0.9953527,0.00008614231,0.0005970566,0.000006695414,0.00001061215,0.00001010794,0.003673967,0.00001565096,0.0002470985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005754495,"threshold_uncertainty_score":0.01144201,"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."}}