{"id":"W4406486523","doi":"10.5194/tc-19-201-2025","title":"Benchmarking of snow water equivalent (SWE) products based on outcomes of the SnowPEx+ Intercomparison Project","year":2025,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"European Space Agency","keywords":"Benchmarking; Water equivalent; Snow; Environmental science; Meteorology; Business; Geography","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":[0.008173892,0.001157745,0.0004697908,0.002294418,0.0003564322,0.001764693,0.0008036071,0.0006214698,0.0006977724],"category_scores_gemma":[0.01116323,0.0002157901,0.0007257927,0.002106395,0.0004371358,0.002076082,0.001129076,0.0004265511,0.0004578274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005892029,"about_ca_system_score_gemma":0.0004152932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005508146,"about_ca_topic_score_gemma":0.00623376,"domain_scores_codex":[0.9974592,0.0006980211,0.0002361441,0.0004260603,0.001068062,0.0001125528],"domain_scores_gemma":[0.9935748,0.001605925,0.0007501215,0.001277677,0.002530641,0.0002608791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001696523,0.0009489795,0.3951106,0.0005316918,0.001451489,0.0005289385,0.0006505242,0.3857516,0.01871899,0.00218248,0.01434006,0.1780881],"study_design_scores_gemma":[0.0003032245,0.002112266,0.361452,0.0001320593,0.0002794488,0.0002701469,0.0006719414,0.5740924,0.04600404,0.001661631,0.01288551,0.0001353866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691498,0.0002516109,0.01551107,0.0001185544,0.00005152576,0.000152342,0.007825752,0.001549102,0.005390232],"genre_scores_gemma":[0.9527087,0.000107044,0.02291632,0.0000351594,0.00001577108,0.0000796478,0.02325071,0.0003013666,0.000585255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008173892,"threshold_uncertainty_score":0.04322821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449640535015977,"score_gpt":0.2492587735282228,"score_spread":0.224762368178063,"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."}}