{"id":"W3048282608","doi":"10.1029/2020wr027466","title":"Simulation of Preferential Flow in Snow With a 2‐D Non‐Equilibrium Richards Model and Evaluation Against Laboratory Data","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowpack; Snow; Snowmelt; Flow (mathematics); Richards equation; Environmental science; Meltwater; Flow conditions; Mechanics; Hydrology (agriculture); Geology; Atmospheric sciences; Soil science; Geotechnical engineering; Geomorphology; Physics; Soil water","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006224496,0.0005853438,0.0006131855,0.000342814,0.0003684495,0.0004390627,0.0009101194,0.0008832264,0.0008355918],"category_scores_gemma":[0.001325651,0.0002766053,0.00057461,0.0003007121,0.0004584337,0.0005006946,0.0003700381,0.0005324837,0.000100104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008725052,"about_ca_system_score_gemma":0.0007871733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991091,"about_ca_topic_score_gemma":0.01053993,"domain_scores_codex":[0.9998016,0.00007396615,0.00001451096,0.00003516105,0.00003713152,0.00003764299],"domain_scores_gemma":[0.998885,0.0007055169,0.00008433702,0.00009124017,0.0001749538,0.00005905793],"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":[0.00008061358,0.00009164514,0.002209702,0.00002176348,0.00001266536,0.00004949371,0.00002707775,0.9899532,0.005677611,0.0002048298,0.00006451731,0.001606817],"study_design_scores_gemma":[0.00001850863,0.00005116624,0.000457653,0.000001128908,0.000002549366,0.000002936071,0.000006262287,0.9973767,0.002010612,0.00003064477,0.000038079,0.000003710035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875925,0.00003776775,0.01079624,0.00004643294,0.00001270829,0.0000514027,0.0002000436,0.0003115691,0.0009513887],"genre_scores_gemma":[0.994258,0.00003174483,0.005281912,0.000009706716,0.000002797718,0.000054183,0.0001271682,0.00001450426,0.0002198499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01991091,"threshold_uncertainty_score":0.03959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1544523943669129,"score_gpt":0.3324492787007892,"score_spread":0.1779968843338764,"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."}}