{"id":"W3080577205","doi":"10.5194/tc-15-743-2021","title":"Multi-scale snowdrift-permitting modelling of mountain snowpack","year":2021,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of Saskatchewan; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Tula Foundation; Environment and Climate Change Canada; Global Water Futures; Alberta Innovates; Centre National d’Etudes Spatiales; Canada First Research Excellence Fund; Canada Research Chairs; University of Saskatchewan","keywords":"Downscaling; Snow; Snowpack; Mesoscale meteorology; Terrain; Environmental science; Wind speed; Meteorology; Katabatic wind; Atmospheric sciences; Climatology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001426862,0.0003358915,0.000356913,0.0003148645,0.000481495,0.0007420927,0.0008651336,0.000558764,0.001190784],"category_scores_gemma":[0.0003783411,0.0002539648,0.0005804001,0.0003434447,0.0004328213,0.0003564734,0.0005402201,0.0003735163,0.0001076871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000998774,"about_ca_system_score_gemma":0.001157146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1257423,"about_ca_topic_score_gemma":0.08069087,"domain_scores_codex":[0.999929,0.00001519063,0.000004468562,0.00001441688,0.00001551451,0.00002154321],"domain_scores_gemma":[0.9998907,0.00002754767,0.00001716572,0.00001226112,0.00002867427,0.00002365879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001811359,0.00001928533,0.002180512,0.0000104513,0.00001680797,0.0000563727,0.00002588836,0.9937853,0.001669256,0.0007284975,0.0001087557,0.001380824],"study_design_scores_gemma":[0.00000336251,0.00000371094,0.0004629946,9.315579e-7,0.000001561833,0.000002769837,0.000004567713,0.9993007,0.00006030557,0.00007182072,0.00008560637,0.000001633405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202382,0.0002119293,0.06965752,0.0002040631,0.00004826963,0.00006926779,0.0005518261,0.0003823422,0.00863651],"genre_scores_gemma":[0.9925373,0.00005995068,0.006129473,0.00002009044,0.00001099212,0.00002495679,0.0001626723,0.00002130513,0.001033266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257423,"threshold_uncertainty_score":0.2500208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04048108552154149,"score_gpt":0.2292360231155145,"score_spread":0.188754937593973,"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."}}