{"id":"W2058233582","doi":"10.1175/2008jhm979.1","title":"Investigation of the Sensitivity of Water Cycle Components Simulated by the Canadian Regional Climate Model to the Land Surface Parameterization, the Lateral Boundary Data, and the Internal Variability","year":2008,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Ouranos","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; Environmental science; Forcing (mathematics); Annual cycle; Climate model; Water cycle; Structural basin; Sensitivity (control systems); Range (aeronautics); Land cover; Drainage basin; Climate change; Geology; Land use; 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":[0.001858076,0.0004928901,0.0003385901,0.0004996558,0.0007964889,0.0008368575,0.0006359387,0.0004638068,0.0005317797],"category_scores_gemma":[0.007907999,0.0003645193,0.0005740342,0.0008296252,0.0005194824,0.0003827341,0.00045407,0.0006769658,0.00006733272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004609181,"about_ca_system_score_gemma":0.002205962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7781798,"about_ca_topic_score_gemma":0.7042376,"domain_scores_codex":[0.9993659,0.0001903718,0.0000299679,0.0001308338,0.0001672384,0.0001156206],"domain_scores_gemma":[0.9965969,0.001890765,0.0002180357,0.0002438301,0.000882283,0.0001683298],"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":[0.0007193162,0.000182874,0.3755536,0.00007216865,0.0006592186,0.0001672219,0.0001967023,0.5950069,0.01244979,0.000702719,0.001184594,0.01310483],"study_design_scores_gemma":[0.00004591216,0.00016222,0.4174885,0.0000147099,0.0001547582,0.00004221369,0.0001345651,0.5755948,0.005267022,0.0001717858,0.0008603106,0.00006323552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980165,0.00005478095,0.0005670834,0.00008848109,0.000006895111,0.00001388702,0.0004096173,0.00003655192,0.0008062248],"genre_scores_gemma":[0.9990181,0.00002726065,0.0002921216,0.00002035851,0.000002057548,0.000005360701,0.0005013695,0.000007890948,0.0001255121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2218202,"threshold_uncertainty_score":0.4462531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970153288297094,"score_gpt":0.2309880321492915,"score_spread":0.2012864992663206,"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."}}