{"id":"W2106737845","doi":"10.1109/plans.1996.509131","title":"Mitigating tropospheric propagation delay errors in precise airborne GPS navigation","year":2002,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Radiosonde; Global Positioning System; Troposphere; GNSS applications; Zenith; Computer science; Remote sensing; Differential GPS; Real Time Kinematic; Reliability (semiconductor); Kinematics; Meteorology; Environmental science; Real-time computing; Geography; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549885,0.0005965044,0.0003320343,0.0005805771,0.0003327029,0.0006822554,0.0003698581,0.0005472961,0.0002692029],"category_scores_gemma":[0.007333111,0.0003237333,0.0002581068,0.0008372267,0.0004630898,0.000885653,0.0006297019,0.0003627612,0.0001378175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151576,"about_ca_system_score_gemma":0.0005974697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236838,"about_ca_topic_score_gemma":0.0164226,"domain_scores_codex":[0.9989653,0.0004000294,0.0000413372,0.00009233367,0.0004056762,0.00009532664],"domain_scores_gemma":[0.9977602,0.001193513,0.0003045564,0.0004014095,0.0003020158,0.00003828496],"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":[0.00034622,0.00004125559,0.02025255,0.00008976328,0.00007635276,0.0001302329,0.0003172007,0.8879641,0.0185539,0.001190795,0.0003061044,0.07073145],"study_design_scores_gemma":[0.00005652685,0.001051076,0.02419887,0.00003284058,0.0001261455,0.0002310413,0.0003015971,0.9469004,0.0232669,0.002566841,0.00119561,0.00007217844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7591999,0.0006538738,0.2380965,0.0001406161,0.00003402256,0.00003335044,0.0001739759,0.0005731956,0.001094546],"genre_scores_gemma":[0.9788663,0.0002152488,0.02056397,0.000008351612,0.000008804722,0.000008705298,0.0001022336,0.00002491127,0.0002015195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01236838,"threshold_uncertainty_score":0.02459276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125837886124767,"score_gpt":0.2059641876250179,"score_spread":0.1947058087637702,"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."}}