{"id":"W2992562544","doi":"10.5194/tc-14-1579-2020","title":"Evaluation of long-term Northern Hemisphere snow water equivalent products","year":2020,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"Goddard Space Flight Center; European Space Agency; National Aeronautics and Space Administration","keywords":"Snow; Environmental science; Climatology; Satellite; Data assimilation; Meteorology; Northern Hemisphere; Water equivalent; Mean squared error; Remote sensing; Atmospheric sciences; Geography; Geology; Mathematics","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":[0.004953447,0.0005873417,0.0003436328,0.0007768628,0.0003733492,0.00091061,0.0006861162,0.0003967539,0.001101445],"category_scores_gemma":[0.004251816,0.0001909524,0.0003965707,0.000843959,0.0001960054,0.001226448,0.0005874206,0.0002474998,0.0003759047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008085183,"about_ca_system_score_gemma":0.0007090049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209468,"about_ca_topic_score_gemma":0.02561428,"domain_scores_codex":[0.9990323,0.0003167629,0.0000923293,0.0002026466,0.0003042252,0.00005191449],"domain_scores_gemma":[0.9973121,0.0005791772,0.0001939777,0.0002860603,0.001498416,0.000130208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006058888,0.001459769,0.3229892,0.0004924638,0.001287483,0.000719241,0.0005101627,0.28695,0.04531903,0.001146847,0.01273438,0.3203326],"study_design_scores_gemma":[0.00099019,0.002453859,0.4092262,0.0001023564,0.0004008692,0.0002229642,0.0005072766,0.5211572,0.0509407,0.0005943126,0.01328985,0.0001141891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748294,0.0002959425,0.008687614,0.0001007949,0.00005842182,0.0001659493,0.01183426,0.001052041,0.002975563],"genre_scores_gemma":[0.9470075,0.0001340264,0.02219531,0.00004951212,0.00001672824,0.0001341924,0.02895982,0.0001094824,0.001393429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0209468,"threshold_uncertainty_score":0.04164976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0572204134055393,"score_gpt":0.2478340954403571,"score_spread":0.1906136820348178,"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."}}