{"id":"W2068318663","doi":"10.1002/joc.4011","title":"Configuration and validation of a mesoscale atmospheric model for simulating summertime rainfall in Central Alberta","year":2014,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Compute Canada; Western Canada Research Grid; Pennsylvania State University","keywords":"MM5; Mesoscale meteorology; Environmental science; Precipitation; Climatology; Terrain; Climate model; Meteorology; Downscaling; Rainband; Climate change; Geology; Geography","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":[0.0004800038,0.0008353812,0.0003534352,0.0005630632,0.001300729,0.001208371,0.001757489,0.0008182201,0.001198036],"category_scores_gemma":[0.0007382421,0.0003805985,0.0004417306,0.0007571256,0.0005727043,0.000308903,0.0005307688,0.0005972173,0.0001678127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007060261,"about_ca_system_score_gemma":0.006095126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8277863,"about_ca_topic_score_gemma":0.7622624,"domain_scores_codex":[0.9998454,0.00002563467,0.000008060746,0.00003654254,0.00004165869,0.00004256318],"domain_scores_gemma":[0.9997061,0.00006748343,0.00002082343,0.00002441907,0.0001221996,0.00005892159],"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":[0.0001620205,0.0001308157,0.01775475,0.00001397841,0.00003324839,0.00008609957,0.00003963446,0.975078,0.001693054,0.0003324093,0.0006278805,0.004048054],"study_design_scores_gemma":[0.00004908531,0.00002365124,0.004406656,0.000002166247,0.000009608921,0.000003720867,0.00004001907,0.9945824,0.0005362028,0.00005379366,0.0002852907,0.000007386171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900869,0.00005940234,0.00266051,0.0001158197,0.00002647431,0.00007682426,0.0009714479,0.0005401219,0.005462509],"genre_scores_gemma":[0.9959044,0.00002691334,0.002706314,0.00001844171,0.000003611798,0.00002701612,0.0005970247,0.00001761117,0.0006988312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1722137,"threshold_uncertainty_score":0.3464558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711942534940649,"score_gpt":0.2781271867106688,"score_spread":0.2610077613612624,"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."}}