{"id":"W2026090332","doi":"10.1007/s00382-014-2066-z","title":"Sensitivity of seasonal precipitation extremes to model configuration of the Canadian Regional Climate Model over eastern Canada using historical simulations","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Precipitation; Climatology; Environmental science; Percentile; Climate model; General Circulation Model; Climate change; Atmospheric sciences; Meteorology; Geography; Mathematics; Geology; Statistics","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":[0.0010504,0.0006050965,0.0003732528,0.0007175346,0.001289619,0.001243707,0.001357601,0.0005539102,0.0008111282],"category_scores_gemma":[0.003857085,0.0003845812,0.0006406863,0.001213416,0.0006135137,0.0005292037,0.00042515,0.0006342055,0.00008586609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01312054,"about_ca_system_score_gemma":0.00688955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9589149,"about_ca_topic_score_gemma":0.9432179,"domain_scores_codex":[0.9996144,0.00006359317,0.00001815767,0.0001123215,0.00008485363,0.0001067857],"domain_scores_gemma":[0.9987179,0.000380423,0.0001052894,0.0001256962,0.0005574622,0.000113316],"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":[0.0001707275,0.00003724021,0.1178881,0.00003045092,0.0002241945,0.00009085557,0.00007018352,0.8753076,0.0009459137,0.0005515062,0.0008769957,0.003806204],"study_design_scores_gemma":[0.00006824442,0.0000458149,0.1106379,0.00002425808,0.0001265953,0.00004338996,0.0001680502,0.8852566,0.001478722,0.0003007342,0.001786842,0.00006282912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954294,0.0001870587,0.0007551973,0.000116088,0.00001206757,0.00001210972,0.001554013,0.00007960077,0.001854399],"genre_scores_gemma":[0.9975573,0.00007922816,0.0005531901,0.00001854288,0.000003507729,0.000005441371,0.001525677,0.00001700309,0.0002402596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04108506,"threshold_uncertainty_score":0.0951966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094909077855705,"score_gpt":0.2422053798036627,"score_spread":0.2112562890251057,"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."}}