{"id":"W3176212209","doi":"10.5194/egusphere-egu21-9087","title":" Ground-based GNSS for climate research: review and perspectives","year":2021,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"GNSS applications; Environmental science; Water cycle; Troposphere; Precipitation; Meteorology; Greenhouse gas; Climate change; Water vapor; Climatology; Atmospheric sciences; Global Positioning System; Computer science; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002554386,0.00006727704,0.0001184603,0.00003378264,0.00008982475,0.00006213348,0.00005181775,0.00002796949,0.0002406297],"category_scores_gemma":[0.0001191478,0.00006221731,0.00003400413,0.000117678,0.00003810431,0.00006268839,0.00001994068,0.0001118134,0.0000409355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003442191,"about_ca_system_score_gemma":0.0000173935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007360551,"about_ca_topic_score_gemma":0.00002029378,"domain_scores_codex":[0.999434,0.00003362803,0.00009581291,0.0001500878,0.00007747719,0.0002089913],"domain_scores_gemma":[0.9994738,0.0001232752,0.000005668151,0.0001543481,0.0001953391,0.00004761583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009885299,0.0006453007,0.0008322396,0.05497688,0.0005569882,0.00002862601,0.007113593,0.00188646,0.07768023,0.316899,0.5169569,0.02232497],"study_design_scores_gemma":[0.003797496,0.0009469141,0.008669915,0.01740906,0.0005054919,0.0001609418,0.008667016,0.05722064,0.07101081,0.01088496,0.8178629,0.002863836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1012685,0.3561953,0.09850714,0.01535797,0.0007637774,0.001703607,0.0001891663,0.001712717,0.4243019],"genre_scores_gemma":[0.9722124,0.01410096,0.01074002,0.0003668768,0.00006681549,0.0001133749,0.0000376117,0.00003061101,0.002331278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.870944,"threshold_uncertainty_score":0.2634726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947746607286659,"score_gpt":0.3632932394094706,"score_spread":0.1685185786808047,"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."}}