{"id":"W2026779993","doi":"10.1029/2012jd017543","title":"Projected changes to precipitation extremes for northeast Canadian watersheds using a multi‐RCM ensemble","year":2012,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Climate variability and models","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Global Institute for Water Security; University of Saskatchewan; Ouranos; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Environmental science; Climatology; Hydropower; Climate change; General Circulation Model; Climate model; Atmospheric sciences; Meteorology; Geology; 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":[0.000436557,0.0004536839,0.0002544828,0.0005084707,0.0006491022,0.0005297592,0.0006142409,0.0002738921,0.0005679582],"category_scores_gemma":[0.0009547671,0.000216336,0.0005650914,0.0007979015,0.0001752966,0.0003704509,0.0002511597,0.0003111582,0.00009971442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004885185,"about_ca_system_score_gemma":0.004702102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8204329,"about_ca_topic_score_gemma":0.8326557,"domain_scores_codex":[0.9998463,0.00001646113,0.000006471244,0.00003643282,0.00006105615,0.0000332499],"domain_scores_gemma":[0.9997002,0.00004231083,0.00002870521,0.00002646048,0.0001698589,0.00003257073],"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":[0.00009797209,0.00003834634,0.09364372,0.00002843618,0.0001498516,0.0001038618,0.00005539886,0.8900476,0.002621518,0.0004726801,0.0009980743,0.01174255],"study_design_scores_gemma":[0.00002525577,0.00003024334,0.1290297,0.000009656292,0.00007092976,0.00003126577,0.00008326185,0.8662795,0.002386012,0.0002701811,0.00174012,0.00004386708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892834,0.0001826399,0.004544254,0.0001561209,0.00001546471,0.00002348132,0.003466024,0.0001644499,0.002164208],"genre_scores_gemma":[0.9914581,0.0001596694,0.003988093,0.00002151796,0.000005403256,0.00002178303,0.003864381,0.00001604022,0.0004649884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1795671,"threshold_uncertainty_score":0.3612491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1268801823704216,"score_gpt":0.3643649494116303,"score_spread":0.2374847670412086,"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."}}