{"id":"W2160370764","doi":"10.1002/hyp.7348","title":"Modelling blowing snow redistribution to prairie wetlands","year":2009,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Snow; Environmental science; Meltwater; Sublimation (psychology); Snow field; Snowmelt; Hydrology (agriculture); Permafrost; Wetland; Spatial distribution; Physical geography; Atmospheric sciences; Geology; Snow cover; Remote sensing; Ecology; Geography; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001276611,0.0001089297,0.000140814,0.00001478587,0.00029646,0.00004988594,0.0001384482,0.00006171803,0.0003230856],"category_scores_gemma":[0.0003277497,0.00007744967,0.00003162801,0.0004607201,0.00002976192,0.0001284438,0.000008510995,0.0000938962,0.00008837535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000370756,"about_ca_system_score_gemma":0.00002467828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007472482,"about_ca_topic_score_gemma":0.0001712945,"domain_scores_codex":[0.999113,0.00001367476,0.0001653765,0.0002518187,0.0001706355,0.0002854797],"domain_scores_gemma":[0.9995568,0.0001372929,0.00003487357,0.00008824187,0.00007075972,0.0001119978],"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":[0.0001091266,0.00007500751,0.08740659,0.00002440787,0.00001472255,0.00002358168,0.0002258002,0.8814259,0.00002091405,0.0003405487,0.004432991,0.02590039],"study_design_scores_gemma":[0.0004730754,0.001697431,0.3323754,0.00006892896,0.00004814723,0.00001910742,0.0002267497,0.5312319,0.0002011205,0.02561363,0.1073844,0.0006600209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072717,0.001006477,0.0736948,0.009567506,0.0001426593,0.0002150895,0.00003949775,0.0002126816,0.007849582],"genre_scores_gemma":[0.9962112,0.00006034617,0.001875054,0.001522592,0.0001678958,0.000001917839,0.00009024006,0.000001163485,0.00006960708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3501939,"threshold_uncertainty_score":0.3537561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695131486862378,"score_gpt":0.239129885982139,"score_spread":0.2021785711135153,"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."}}