{"id":"W4409758634","doi":"10.22541/au.174552056.68423072/v1","title":"Effects of Convection-Permitting Grid Resolution on Cold-Season Precipitation simulated by the Canadian Regional Climate Model version 6","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ouranos; Université du Québec à Montréal","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Precipitation; Climatology; Grid; Climate simulation; Climate model; Horizontal resolution; Environmental science; Convection; Meteorology; General Circulation Model; Resolution (logic); Climate change; Geography; Geology; Computer science; Geodesy","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":[0.001760334,0.0009318193,0.0005986114,0.0004336588,0.001237805,0.001245295,0.001788772,0.0006645423,0.001233416],"category_scores_gemma":[0.006291118,0.0005093609,0.0007972502,0.0008683499,0.0006483507,0.0005954275,0.0006241103,0.0008707374,0.0001922374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005807345,"about_ca_system_score_gemma":0.008388604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9066136,"about_ca_topic_score_gemma":0.8581016,"domain_scores_codex":[0.9991886,0.0002065824,0.00005130184,0.0001777235,0.0001549224,0.0002208053],"domain_scores_gemma":[0.9979597,0.0006265554,0.0001198299,0.0001921384,0.0008943634,0.0002073426],"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":[0.0006111378,0.0001223885,0.08648762,0.00008250274,0.0001728587,0.000116936,0.0001416984,0.8947411,0.002626145,0.001340081,0.003280257,0.01027721],"study_design_scores_gemma":[0.0002639307,0.0000693633,0.03714918,0.00003203962,0.00006951018,0.00002730253,0.00009769311,0.9579818,0.001769447,0.0003179907,0.002161303,0.00006041223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861143,0.0003510578,0.003109907,0.0004140251,0.00009359394,0.00006813164,0.003061957,0.0007465878,0.006040561],"genre_scores_gemma":[0.9926395,0.0001280458,0.004151382,0.0001088612,0.000007122936,0.00002630528,0.002309273,0.00006883317,0.0005606237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9066136,"threshold_uncertainty_score":0.1878726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528011092703004,"score_gpt":0.245323197283721,"score_spread":0.230043086356691,"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."}}