{"id":"W2073837758","doi":"10.1007/s00382-011-1008-2","title":"Sensitivity to domain size of mid-latitude summer simulations with a regional climate model","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Inflow; Eddy; Climatology; Scale (ratio); Environmental science; Climate model; Transient (computer programming); Flow (mathematics); Precipitation; Latitude; Domain (mathematical analysis); Climate change; Atmospheric sciences; Meteorology; Geology; Geography; Physics; Mechanics; Turbulence; Mathematics; Computer science; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002382324,0.0006567167,0.0008482731,0.0004836406,0.0008835505,0.00139932,0.0008582061,0.001698538,0.001907604],"category_scores_gemma":[0.01360128,0.0007126779,0.0008314375,0.0005447245,0.0009322988,0.001478337,0.0008916423,0.001544814,0.0002179381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207351,"about_ca_system_score_gemma":0.001000212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03548973,"about_ca_topic_score_gemma":0.01733994,"domain_scores_codex":[0.9993954,0.0002830897,0.00003930962,0.0001223867,0.0000489611,0.0001108969],"domain_scores_gemma":[0.9883333,0.009033553,0.0004872869,0.0007733273,0.0006787783,0.0006938179],"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":[0.0007280825,0.0001782466,0.01790146,0.00004766735,0.0001286399,0.0001037625,0.00008366032,0.971792,0.00514804,0.0009109367,0.001001671,0.001975676],"study_design_scores_gemma":[0.0001253888,0.0001232891,0.01141556,0.00001935296,0.00005050204,0.00002831787,0.0001010499,0.9842202,0.002875647,0.0006653234,0.000345028,0.000030295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940761,0.0001813443,0.001824974,0.0006262743,0.00006927695,0.00001204875,0.0006673019,0.0002452921,0.002297272],"genre_scores_gemma":[0.9986192,0.0000512357,0.0005220785,0.00008249129,0.000009436318,0.000007248785,0.0005226766,0.00005627361,0.0001293691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03548973,"threshold_uncertainty_score":0.07056636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427629387047276,"score_gpt":0.252373314971348,"score_spread":0.2180970211008752,"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."}}