{"id":"W4389824878","doi":"10.1016/j.geog.2023.11.002","title":"Assessment of the performance of the TOPGNSS and ANN-MB antennas for ionospheric measurements using low-cost u-blox GNSS receivers","year":2023,"lang":"en","type":"article","venue":"Geodesy and Geodynamics","topic":"GNSS positioning and interference","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"GNSS applications; Ionosphere; Geodesy; Geology; Remote sensing; Telecommunications; Computer science; Geophysics; Global Positioning System","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":[0.0001761669,0.0000983149,0.0001264553,0.00002274318,0.0001435604,0.00001723682,0.0001301823,0.0000483838,0.00000239379],"category_scores_gemma":[0.00001600563,0.00006922467,0.00004505035,0.0002018641,0.00008652655,0.00007731912,0.00005970257,0.00009421589,2.604476e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003587846,"about_ca_system_score_gemma":0.00002220292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003349307,"about_ca_topic_score_gemma":0.00002552969,"domain_scores_codex":[0.9994168,0.00001796696,0.0001688444,0.0001090267,0.0001215573,0.0001658053],"domain_scores_gemma":[0.999637,0.0000381396,0.00006105647,0.000171057,0.000069054,0.0000236609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003234961,0.00005435192,0.3672932,0.001207831,0.0001772626,2.564537e-7,0.0009517684,0.5716281,0.04927452,0.0005081762,0.0001242795,0.008747904],"study_design_scores_gemma":[0.000188603,0.00002076116,0.2620397,0.000229288,0.00002502372,0.000002271717,0.0001339713,0.7358098,0.001406335,0.00003775831,0.00003570924,0.00007079388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976619,0.00005592826,0.001251484,0.00002565963,0.0003161702,0.0002224978,0.00003761629,0.00002039638,0.0004082835],"genre_scores_gemma":[0.9993908,0.0001515342,0.000321121,0.00001516437,0.0000111512,0.00001000533,0.000005220655,0.00001079806,0.00008422357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641817,"threshold_uncertainty_score":0.28229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277266453760535,"score_gpt":0.2459432410049769,"score_spread":0.2231705764673715,"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."}}