{"id":"W2624652642","doi":"","title":"Improved Tropospheric Delay Estimation for Long Baseline, Carrier-Phase Differential GPS Positioning in a Coastal Environment","year":2004,"lang":"en","type":"article","venue":"Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Troposphere; Global Positioning System; Environmental science; Baseline (sea); Numerical weather prediction; Meteorology; Geography; Computer science; Geology; Oceanography; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005012978,0.0002051098,0.0002915064,0.0000935105,0.0001076547,0.00002694219,0.0008926491,0.0001268364,0.000004749575],"category_scores_gemma":[0.0004732315,0.0001398058,0.0003023922,0.0003038311,0.0002921559,0.0002820723,0.0002466407,0.0002724848,3.928699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014652,"about_ca_system_score_gemma":0.00003740693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006550419,"about_ca_topic_score_gemma":0.000006224761,"domain_scores_codex":[0.9979854,0.00001999647,0.001019012,0.0002187444,0.0005871733,0.0001696427],"domain_scores_gemma":[0.9985504,0.00007684447,0.0007999244,0.0002122507,0.000323276,0.00003730423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001789917,0.0003133133,0.001549212,0.000309402,0.00006529315,1.163027e-7,0.0002232399,0.2262472,0.7624938,0.00491213,0.00002439395,0.003682958],"study_design_scores_gemma":[0.001682896,0.0001675841,0.007012781,0.003893037,0.00007598558,0.0000114331,0.00004748999,0.06035902,0.922066,0.004464465,0.00003999613,0.0001792729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751713,0.00008164914,0.02219107,0.0005094179,0.00078226,0.0006532398,0.0001314137,0.00004050649,0.0004391698],"genre_scores_gemma":[0.9942457,0.00002518231,0.005577689,0.00001186413,0.00003160038,0.00003518149,0.0000327563,0.00001995863,0.00002003339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658881,"threshold_uncertainty_score":0.5701113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008333201158871532,"score_gpt":0.2450183005264305,"score_spread":0.236685099367559,"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."}}