{"id":"W2025877024","doi":"10.1175/2010jamc2315.1","title":"Downscaling and Bias Correcting a Cold Season Precipitation Climatology over Coastal Southern British Columbia Using the Regional Atmospheric Modeling System (RAMS)","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"U.S. Geological Survey","keywords":"Precipitation; Environmental science; Snow; Climatology; Downscaling; Climate model; Glacier; Spatial distribution; Climate change; Geology; Meteorology; Physical geography; Geography; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002672875,0.0003869545,0.0002367233,0.0005585651,0.0007158567,0.0007327617,0.0005493624,0.0001952181,0.00136842],"category_scores_gemma":[0.0009323486,0.0002767211,0.0002985974,0.00118343,0.0001665716,0.0002280174,0.0002889404,0.0003460606,0.000311805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003538318,"about_ca_system_score_gemma":0.004977681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9232745,"about_ca_topic_score_gemma":0.9514995,"domain_scores_codex":[0.9998633,0.00001702076,0.000008764111,0.0000356312,0.00005189116,0.00002343712],"domain_scores_gemma":[0.9996347,0.00002982669,0.00002797966,0.00003677562,0.0002432298,0.00002743963],"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":[0.0002958177,0.0001696313,0.3962375,0.0001025719,0.0003415406,0.0002280202,0.000371848,0.4478711,0.01108333,0.0004746868,0.01399729,0.1288266],"study_design_scores_gemma":[0.0001164397,0.00003639748,0.3872811,0.00002502259,0.00009560458,0.00002256116,0.0002425559,0.6019365,0.003822515,0.000161435,0.006213593,0.00004627308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896188,0.00007539053,0.002196085,0.000107949,0.00002055598,0.00004476661,0.003478315,0.0008638459,0.003594225],"genre_scores_gemma":[0.9881838,0.00008341601,0.006016527,0.00003152382,0.000006969891,0.00003704692,0.003605447,0.0001027458,0.001932662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07672548,"threshold_uncertainty_score":0.1543546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190740821457512,"score_gpt":0.2221660919625069,"score_spread":0.2002586837479318,"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."}}