{"id":"W4309447748","doi":"10.5194/egusphere-2022-1125","title":"Passive Tracer Modelling at Super-Resolution with WRF-ARW to Assess Mass-Balance Schemes","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Western Canada Research Grid","keywords":"Downscaling; Weather Research and Forecasting Model; Environmental science; Meteorology; Context (archaeology); Grid; Terrain; Scale (ratio); Computer science; Precipitation; Geography","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":[0.001033516,0.0005959033,0.0006649186,0.0005844293,0.0003640639,0.001076481,0.001515048,0.001535909,0.002282616],"category_scores_gemma":[0.002516945,0.000318075,0.001031242,0.0008609162,0.000389962,0.001618171,0.0005662234,0.001216938,0.0003770909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007962995,"about_ca_system_score_gemma":0.0007776735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04073865,"about_ca_topic_score_gemma":0.01756562,"domain_scores_codex":[0.9997656,0.0000739247,0.00002062444,0.00004804027,0.00005683305,0.00003497632],"domain_scores_gemma":[0.9992535,0.0003128868,0.00007272379,0.0001332289,0.0001812503,0.00004633064],"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":[0.00008332343,0.00008870841,0.008201379,0.00003944337,0.00005509491,0.0000647545,0.00005183557,0.9784878,0.003267249,0.002161984,0.0005264827,0.006971986],"study_design_scores_gemma":[0.00001471332,0.00001054772,0.0009780965,0.000002749505,0.000003650553,0.000003519244,0.000008929381,0.9979023,0.0004268617,0.0003708625,0.0002712491,0.000006544236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355026,0.00045107,0.14518,0.001006972,0.0002067234,0.0001615006,0.00443955,0.002505726,0.01054586],"genre_scores_gemma":[0.9644948,0.00006896457,0.0329887,0.00007673688,0.00002298956,0.00006208417,0.00121495,0.0001297374,0.0009409898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04073865,"threshold_uncertainty_score":0.08100301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07767123515135506,"score_gpt":0.2654444472159994,"score_spread":0.1877732120646443,"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."}}