{"id":"W2256790706","doi":"10.1007/s40328-015-0153-1","title":"Comparative study of GPS-TEC smoothing techniques","year":2015,"lang":"en","type":"article","venue":"Acta Geodaetica et Geophysica","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"TEC; GNSS applications; Global Positioning System; Total electron content; Smoothing; Ionosphere; Remote sensing; Computer science; Space weather; Geodesy; Code (set theory); Environmental science; Meteorology; Geography; Geology; Telecommunications; Geophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001631855,0.0002444462,0.0004587651,0.00003022398,0.00007040712,0.00004497039,0.0003289962,0.00004164957,0.000174835],"category_scores_gemma":[0.000007530096,0.0002270173,0.00009374801,0.0002369802,0.00008679274,0.0002566182,0.0001959347,0.0002518196,0.00006021312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001899396,"about_ca_system_score_gemma":0.0001218279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766527,"about_ca_topic_score_gemma":0.00004409816,"domain_scores_codex":[0.99867,0.0001123994,0.0003235132,0.0003135595,0.0002889619,0.0002915408],"domain_scores_gemma":[0.9988604,0.00009877936,0.0001971488,0.0004923131,0.0002259796,0.0001254246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001389424,0.05179962,0.05961531,0.0002176511,0.004123264,0.0000556543,0.2048034,0.001804766,0.0433185,0.391717,0.1076947,0.1334607],"study_design_scores_gemma":[0.01959533,0.02586027,0.07244517,0.000542168,0.002111615,0.0000115626,0.3134954,0.01730089,0.1073285,0.2370158,0.1962307,0.008062632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163568,0.000008480648,0.0007837935,0.0001759366,0.00009496787,0.0005101116,0.00002022884,0.00008592399,0.08196376],"genre_scores_gemma":[0.9976148,7.367273e-7,0.001345411,0.00005627648,0.0001688954,0.00006208585,0.00003856025,0.00002595881,0.0006872729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1547012,"threshold_uncertainty_score":0.9257495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019346382475403,"score_gpt":0.2861599785347768,"score_spread":0.2659665147100228,"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."}}