{"id":"W2886883749","doi":"10.1002/joc.5716","title":"Estimation of precipitation and air temperature over western Canada using a regional climate model","year":2018,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Western Canada Research Grid; Compute Canada; Transport Canada; National Center for Atmospheric Research","keywords":"Weather Research and Forecasting Model; Environmental science; Precipitation; Climatology; Shortwave radiation; Precipitable water; Climate model; Shortwave; Longwave; Meteorology; Atmospheric sciences; Climate change; Geography; Geology; Radiative transfer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003080763,0.0006223132,0.0003631379,0.0005234855,0.001202808,0.0008815859,0.00129288,0.0005272637,0.001162298],"category_scores_gemma":[0.000906545,0.000376021,0.0006310061,0.001172895,0.0004247445,0.0003279143,0.0003040136,0.0005569553,0.0001534093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0153156,"about_ca_system_score_gemma":0.01739546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912382,"about_ca_topic_score_gemma":0.9864492,"domain_scores_codex":[0.9998341,0.00002158205,0.000007765841,0.00005247493,0.00003641233,0.00004776493],"domain_scores_gemma":[0.9995478,0.00005992091,0.00003259715,0.00002152158,0.0002755595,0.00006251418],"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":[0.0001219019,0.00005799168,0.04124948,0.00002470483,0.00009449974,0.0001036073,0.00009080605,0.9489152,0.0008921167,0.0007618724,0.001908579,0.005779161],"study_design_scores_gemma":[0.00005551957,0.00001755179,0.01995694,0.000007772339,0.00003471875,0.00001120598,0.00008699814,0.9782034,0.0003139545,0.0001280979,0.001159589,0.00002419935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860861,0.0002087504,0.002855965,0.0002592322,0.00001815246,0.0000480027,0.005428878,0.0003314032,0.004763464],"genre_scores_gemma":[0.9908795,0.0001414363,0.004031211,0.00003374974,0.000004293454,0.00002415578,0.003282148,0.00002533272,0.001578112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0153156,"threshold_uncertainty_score":0.111123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842511309222161,"score_gpt":0.2918536671717788,"score_spread":0.2734285540795572,"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."}}