{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002509349,0.0009676301,0.0009804061,0.002562925,0.0002595185,0.001529582,0.001367572,0.001564832,0.004960618],"category_scores_gemma":[0.002774375,0.0003421201,0.0007148089,0.004452724,0.000758339,0.002384213,0.0008816842,0.001526668,0.003810045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008042491,"about_ca_system_score_gemma":0.002759051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003254976,"about_ca_topic_score_gemma":0.003124107,"domain_scores_codex":[0.999612,0.00008371982,0.00005079477,0.00008343567,0.0001332872,0.0000367418],"domain_scores_gemma":[0.9979545,0.0008550895,0.0001927548,0.00007277456,0.0008169871,0.0001079344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000649291,0.00004362764,0.0004566523,0.01280589,0.0001279414,0.0000884941,0.00006168888,0.0007520872,0.0007570699,0.0108097,0.04637475,0.9276572],"study_design_scores_gemma":[0.000008839262,0.00005342213,0.001079153,0.005603869,0.0001196721,0.0001886293,0.00007809811,0.0001960632,0.0002765931,0.003559896,0.9888113,0.0000243764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001760695,0.993654,0.0006683506,0.001888622,0.0007700339,0.00001128638,0.00009509212,0.00002750783,0.002709053],"genre_scores_gemma":[0.0009980911,0.9965814,0.0006332276,0.0005600909,0.0004408091,0.000009739406,0.0001172607,0.000007100484,0.000652326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004960618,"threshold_uncertainty_score":0.01659495,"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."}}