{"id":"W2102378242","doi":"10.1175/2007mwr2112.1","title":"Development and Testing of Polar Weather Research and Forecasting (WRF) Model. Part I: Greenland Ice Sheet Meteorology*","year":2008,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Weather Research and Forecasting Model; MM5; Climatology; Mesoscale meteorology; Meteorology; Environmental science; Snow; Polar; Numerical weather prediction; Geology; Geography; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121626,0.0007434011,0.0005322879,0.0003506227,0.0004824644,0.0007837131,0.001013185,0.0006075681,0.001652926],"category_scores_gemma":[0.001369361,0.0003511755,0.0006719307,0.0004134674,0.0003201963,0.0006197612,0.000394509,0.000666339,0.0003946676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224293,"about_ca_system_score_gemma":0.001641563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1002854,"about_ca_topic_score_gemma":0.0448167,"domain_scores_codex":[0.9997105,0.0001140876,0.00001656402,0.00005629122,0.00005659994,0.0000459196],"domain_scores_gemma":[0.999503,0.0001501853,0.00004336484,0.00008022367,0.0001687497,0.00005444411],"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":[0.0002009961,0.0001861789,0.01817127,0.00003197957,0.00005394466,0.0001146841,0.00003533299,0.9640883,0.001722752,0.0005721377,0.002454258,0.01236816],"study_design_scores_gemma":[0.0001371925,0.00007221797,0.004947684,0.000005913404,0.00001439964,0.000009674764,0.00002338179,0.9914578,0.002111783,0.0001489243,0.001059948,0.00001108636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9742274,0.0001282609,0.008149193,0.0004394462,0.00009666152,0.0002331684,0.00498849,0.001189868,0.01054773],"genre_scores_gemma":[0.9738309,0.00008895907,0.01836056,0.0001429984,0.00002296771,0.0001624622,0.005259434,0.0001688834,0.001962851],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1002854,"threshold_uncertainty_score":0.1994033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2140549389588779,"score_gpt":0.2902294981609533,"score_spread":0.07617455920207547,"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."}}