{"id":"W7096268292","doi":"","title":"UNIVERSITY OF CALGARY Data Assimilation for 4-D Wet Refractivity Modelling in a Regional GPS Network","year":2005,"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":"Radiosonde; Global Positioning System; Data assimilation; Radio occultation; Water vapor; GPS signals; Atmosphere (unit); Humidity","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":[0.0009868963,0.0004959766,0.0007485981,0.0009287015,0.0005775512,0.0008048739,0.0009411428,0.0003447863,0.00663342],"category_scores_gemma":[0.002457446,0.0003919093,0.0003611231,0.002668233,0.0001637856,0.0004830048,0.0005817128,0.0009794235,0.002817958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003442714,"about_ca_system_score_gemma":0.006507943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6863548,"about_ca_topic_score_gemma":0.6175315,"domain_scores_codex":[0.999592,0.00005013835,0.00001573094,0.0000710298,0.000214972,0.0000561024],"domain_scores_gemma":[0.9987055,0.00005624692,0.00005185149,0.0001762326,0.0009433723,0.0000666854],"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":[0.0004366425,0.0001121094,0.03456602,0.0001558842,0.0001927021,0.0002018959,0.0003222378,0.3431623,0.006893199,0.006709537,0.2558131,0.3514344],"study_design_scores_gemma":[0.0003946829,0.00005877934,0.09555519,0.0001541639,0.00008576299,0.00004093579,0.0002425681,0.5812027,0.006906643,0.003287809,0.3119468,0.0001240142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2715121,0.002855355,0.3422067,0.004182971,0.002665851,0.0008991413,0.2549054,0.02182481,0.09894765],"genre_scores_gemma":[0.3965511,0.002805566,0.3338372,0.0005102094,0.0002138416,0.0005973255,0.1996518,0.002598957,0.06323392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6863548,"threshold_uncertainty_score":0.6309845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06248257851875109,"score_gpt":0.236454786285272,"score_spread":0.1739722077665209,"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."}}