{"id":"W1936082535","doi":"10.1029/2002rs002844","title":"Analysis of differential GPS performance for marine users during solar maximum","year":2004,"lang":"en","type":"article","venue":"Radio Science","topic":"GNSS positioning and interference","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; Ionosphere; Differential GPS; Geodesy; GPS signals; Remote sensing; Total electron content; Solar maximum; Anomaly (physics); Space weather; Earth's magnetic field; Geomagnetic storm; Meteorology; Environmental science; Geology; TEC; Solar cycle; Geography; Computer science; Assisted GPS; Telecommunications; Physics; Geophysics","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":[0.0004357171,0.0002446432,0.0002039943,0.00046731,0.0002029777,0.0003071615,0.0002595007,0.0002489335,0.0006424641],"category_scores_gemma":[0.004368824,0.0001193561,0.0001413382,0.0008281474,0.0001736772,0.0002820903,0.0003017235,0.0001910358,0.0002739572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004157232,"about_ca_system_score_gemma":0.0001814915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072654,"about_ca_topic_score_gemma":0.009139778,"domain_scores_codex":[0.9997177,0.00005446037,0.00002219869,0.0000524327,0.00009892188,0.00005437552],"domain_scores_gemma":[0.9974545,0.001309626,0.0002704012,0.0002186925,0.0006462773,0.0001005329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001720204,0.0001000929,0.8516707,0.0001554311,0.0001249824,0.000560753,0.000816979,0.05036387,0.02393285,0.0005053115,0.0007309743,0.06931783],"study_design_scores_gemma":[0.00002037547,0.0007726631,0.9309549,0.00001268489,0.00007576191,0.0005300094,0.0003687954,0.05498856,0.01146165,0.000142882,0.0006539527,0.00001780553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981767,0.00004694188,0.000819193,0.00001646648,0.000001900835,0.000003784214,0.0002911356,0.00002367637,0.0006201745],"genre_scores_gemma":[0.9991652,0.0000275785,0.0001996519,0.000004152319,0.000001744297,0.000002411387,0.0004731608,0.000004216783,0.000121873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072654,"threshold_uncertainty_score":0.02132821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006984557425784335,"score_gpt":0.204459457096484,"score_spread":0.1974748996706997,"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."}}