{"id":"W2898570083","doi":"10.1007/s00382-018-4508-5","title":"Evaluation of convection-permitting WRF CONUS simulation on the relationship between soil moisture and heatwaves","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Geosciences; Global Institute for Water Security, University of Saskatchewan","keywords":"Environmental science; Weather Research and Forecasting Model; Water content; Moisture; Climatology; Antecedent (behavioral psychology); Antecedent moisture; Quantile; Atmospheric sciences; Meteorology; Geology; Geography; Mathematics; Runoff curve number","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":[0.00070416,0.0007271564,0.0006534854,0.0003295697,0.0006479955,0.0005678551,0.0009629321,0.0009996054,0.002230872],"category_scores_gemma":[0.001871536,0.0002925397,0.0004819928,0.0004559396,0.0005015692,0.0005866823,0.0004225032,0.0007385915,0.0001300695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007274512,"about_ca_system_score_gemma":0.00118326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0680437,"about_ca_topic_score_gemma":0.037419,"domain_scores_codex":[0.9998136,0.00006641089,0.000008003112,0.00003702723,0.00002364433,0.00005132893],"domain_scores_gemma":[0.9989157,0.0006041462,0.00007905704,0.00009251842,0.0001784915,0.0001300733],"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":[0.0003285321,0.0002322789,0.008159264,0.00004660621,0.00003787031,0.0001535926,0.00004045149,0.9842572,0.002680399,0.0004627266,0.0004647565,0.003136375],"study_design_scores_gemma":[0.0000521294,0.00006062354,0.003096156,0.000002993738,0.00001192204,0.000006467664,0.000029845,0.9956898,0.0008736111,0.00005888137,0.0001109619,0.000006619001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940428,0.00004914246,0.001272874,0.0001246559,0.0000270068,0.00002065601,0.0003909058,0.0001732013,0.003898729],"genre_scores_gemma":[0.9984989,0.00001976891,0.0009002765,0.00002146748,0.000006273675,0.000009690632,0.0001810491,0.00001998468,0.0003425208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0680437,"threshold_uncertainty_score":0.1352953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0809068474854322,"score_gpt":0.323913448860514,"score_spread":0.2430066013750818,"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."}}