{"id":"W2563753232","doi":"10.1515/arsa-2015-0016","title":"Accuracy Assessment Study of UNB3m Neutral Atmosphere Model for Global Tropospheric Delay Mitigation","year":2015,"lang":"en","type":"article","venue":"Artificial Satellites","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Troposphere; Zenith; Environmental science; Latitude; Satellite; Meteorology; Atmosphere (unit); Climatology; Numerical weather prediction; Atmospheric sciences; Remote sensing; Geodesy; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001285,0.0007755776,0.0005593248,0.0004072205,0.0004103655,0.0006874753,0.001026834,0.0007035371,0.0005258223],"category_scores_gemma":[0.001822536,0.0002540544,0.0006438853,0.0004357063,0.0002096961,0.0004908185,0.0004240019,0.0005509692,0.0001472682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005304,"about_ca_system_score_gemma":0.0009430103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08943906,"about_ca_topic_score_gemma":0.03612922,"domain_scores_codex":[0.9996895,0.0001167412,0.0000212614,0.00005587527,0.00007959105,0.00003715386],"domain_scores_gemma":[0.9991376,0.0003067729,0.00007769099,0.00008175169,0.0003447216,0.00005141216],"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":[0.0003316872,0.0001190951,0.02202334,0.00006013882,0.0001171487,0.00007570504,0.00005740741,0.9620924,0.00369169,0.0004116409,0.000935733,0.01008396],"study_design_scores_gemma":[0.00003254865,0.00007403846,0.004129902,0.000006085421,0.00002013688,0.000006006711,0.00001847196,0.9941089,0.001202414,0.00006227224,0.0003304884,0.000008679668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814356,0.0003295758,0.012737,0.0002533091,0.00006795157,0.00005434323,0.00149742,0.0006000227,0.003024671],"genre_scores_gemma":[0.9928186,0.00006482654,0.005920107,0.00002028517,0.000006457482,0.00002377589,0.0007813158,0.00003286205,0.0003317867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08943906,"threshold_uncertainty_score":0.177837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023051299513067,"score_gpt":0.3033867190309714,"score_spread":0.2631562060358408,"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."}}