{"id":"W7100848793","doi":"","title":"UNIVERSITY OF CALGARY Investigations into the Estimation of Tropospheric Delay And Wet Refractivity Using GPS Measurements","year":2003,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zenith; Troposphere; Global Positioning System; Radiometer; Water vapor; Radiosonde; GNSS applications; Microwave radiometer","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":[0.001152878,0.0003112366,0.0002925709,0.001260468,0.0005969304,0.001253015,0.0006449426,0.000332416,0.002657947],"category_scores_gemma":[0.004875466,0.0002132626,0.0001009113,0.002377799,0.0003941065,0.0003682456,0.0005662002,0.0006674983,0.0007781698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002702468,"about_ca_system_score_gemma":0.002113935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3363415,"about_ca_topic_score_gemma":0.4143608,"domain_scores_codex":[0.9991879,0.0001111168,0.00002633984,0.0001134781,0.0004740826,0.00008707559],"domain_scores_gemma":[0.9982038,0.000606089,0.0001087075,0.0001555937,0.000842458,0.00008333656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006497093,0.0001310746,0.1554145,0.0003738831,0.0001282651,0.000588106,0.001505555,0.03624182,0.02851463,0.007665262,0.01485328,0.7539339],"study_design_scores_gemma":[0.0002461401,0.000755676,0.7289886,0.000431562,0.0001263954,0.0004419723,0.002308766,0.08439457,0.05326434,0.003449467,0.1254362,0.0001563185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7991749,0.007827426,0.06876298,0.003894178,0.0004270309,0.0003165223,0.003191501,0.001681795,0.1147237],"genre_scores_gemma":[0.9046903,0.005599437,0.05437446,0.0005295212,0.0001807382,0.00007230105,0.003880045,0.0001454009,0.0305279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3363415,"threshold_uncertainty_score":0.6687676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563037150466325,"score_gpt":0.2162752550439844,"score_spread":0.1906448835393212,"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."}}