{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004337086,0.0004875417,0.0002598988,0.0006671791,0.0002337675,0.0005151309,0.0004237288,0.0002760573,0.0006253032],"category_scores_gemma":[0.002304981,0.0001846386,0.0002356776,0.00119783,0.00008269422,0.0006176538,0.0003440095,0.0003669649,0.0003419436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498257,"about_ca_system_score_gemma":0.0009881129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04699487,"about_ca_topic_score_gemma":0.08108418,"domain_scores_codex":[0.9997788,0.0000484213,0.00001357308,0.00005636657,0.00007770298,0.00002514883],"domain_scores_gemma":[0.9994684,0.0001486384,0.0000574894,0.00006731558,0.0002402319,0.00001790509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003293307,0.000131444,0.07587226,0.0002437467,0.0001448267,0.0002718724,0.0003114442,0.3918869,0.110616,0.001599562,0.002450736,0.4161418],"study_design_scores_gemma":[0.00004176104,0.0001164073,0.04107822,0.00002015474,0.00006220282,0.00008625817,0.0001222178,0.9399651,0.01533016,0.00034558,0.002791538,0.00004039413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4814427,0.0006080809,0.5129222,0.0001858359,0.00009485395,0.00004976781,0.001249535,0.001329138,0.002117853],"genre_scores_gemma":[0.7077947,0.0004108858,0.2889444,0.00002541292,0.00002788692,0.00002539141,0.00156654,0.00007792634,0.001126856],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04699487,"threshold_uncertainty_score":0.09344268,"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."}}