{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004723419,0.000212256,0.0002760253,0.00004084114,0.0001701843,0.00001461841,0.0001639144,0.0001017515,0.0003433003],"category_scores_gemma":[0.00003984558,0.0001901876,0.00007800193,0.000263658,0.0002871232,0.000242667,0.0003154929,0.0001214741,0.00008071571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105659,"about_ca_system_score_gemma":0.00001896627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004075438,"about_ca_topic_score_gemma":0.006101128,"domain_scores_codex":[0.9983544,0.00006941835,0.0003446803,0.0004338405,0.0003032161,0.0004944666],"domain_scores_gemma":[0.9989657,0.0001860977,0.0001350632,0.0005074035,0.00003361536,0.000172085],"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":[0.0003994296,0.0004402825,0.1216424,0.00005560262,0.00002074259,0.00001049053,0.002224426,0.8604231,0.005805035,0.008816388,0.00002985757,0.0001322078],"study_design_scores_gemma":[0.0004185133,0.0000969406,0.03879708,0.00003761909,0.00004046096,0.000009937423,0.0001669861,0.9556799,0.0001191957,0.00431639,0.00002598556,0.0002909824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631171,0.000001267699,0.02877847,0.0001736508,0.00003427403,0.0003469096,0.0005289459,0.00005716091,0.006962284],"genre_scores_gemma":[0.9398766,0.00001738584,0.05969488,0.0002817325,0.000007036021,0.00001228878,0.00004895922,0.00002791189,0.00003327269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09525679,"threshold_uncertainty_score":0.7755625,"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."}}