{"id":"W4406529914","doi":"10.1080/10095020.2024.2440091","title":"Modified ionosphere delay fitting model with atmosphere uncertainty grids for wide-area real-time positioning","year":2025,"lang":"en","type":"article","venue":"Geo-spatial Information Science","topic":"GNSS positioning and interference","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Atmosphere (unit); Ionosphere; Computer science; Environmental science; Meteorology; Atmospheric sciences; Remote sensing; Geophysics; Geology; Physics","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":[0.0003780075,0.0001933831,0.0001764298,0.00007042314,0.0006306786,0.0004159047,0.0003593803,0.0000838814,0.00002609792],"category_scores_gemma":[0.0001232585,0.0001765029,0.00004823207,0.0006352793,0.0001575809,0.002558328,0.00005582179,0.0001507699,0.0000336896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392093,"about_ca_system_score_gemma":0.0002532639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000324232,"about_ca_topic_score_gemma":0.00004386961,"domain_scores_codex":[0.9986199,0.000009461061,0.0004342547,0.0001958942,0.0003246543,0.0004158459],"domain_scores_gemma":[0.9989008,0.0001026174,0.0001055711,0.0002627472,0.0005335119,0.00009469321],"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":[0.00003031053,0.00000610843,0.00008217506,0.0000469329,0.00001068967,1.195229e-7,0.0007009432,0.988829,0.0008106931,0.003906402,0.0008712366,0.004705456],"study_design_scores_gemma":[0.0003871045,0.00006969998,0.0005681636,0.0002073296,0.00001502776,0.000003558788,0.0002074142,0.9960697,0.001598947,0.000510446,0.0001459543,0.0002166772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2220659,0.000006683362,0.7261685,0.0001086638,0.0001634187,0.0002832355,0.00002679637,0.0003205248,0.0508563],"genre_scores_gemma":[0.986485,0.000009764754,0.01285677,0.0002005995,0.00001593478,0.0001010026,0.00007812442,0.000009139861,0.0002436456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7644191,"threshold_uncertainty_score":0.7197579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007797105540442832,"score_gpt":0.2224480323021725,"score_spread":0.2146509267617297,"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."}}