{"id":"W4417263449","doi":"10.1038/s41597-025-06289-7","title":"The Ouranos CRCM5-CMIP6 ensemble: A dynamically downscaled ensemble of CMIP6 simulations over North America","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"Alliance de recherche numérique du Canada; Environment and Climate Change Canada; Innovation, Science and Economic Development Canada; Université du Québec à Montréal","keywords":"Downscaling; Coupled model intercomparison project; Climate model; Grid; General Circulation Model; Climate change; Component (thermodynamics); Climate simulation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008046505,0.0001485334,0.0001916348,0.00006015346,0.0007604887,0.0002271999,0.001823113,0.00005658674,0.0008623063],"category_scores_gemma":[0.0005358435,0.0001094043,0.00006543607,0.001170407,0.001143589,0.0003931606,0.001881609,0.0001450951,0.0002241172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008622016,"about_ca_system_score_gemma":0.00008426973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004247541,"about_ca_topic_score_gemma":0.006255109,"domain_scores_codex":[0.9977132,0.0001123212,0.0004448592,0.0008187042,0.0005170193,0.0003938804],"domain_scores_gemma":[0.9963077,0.0005167986,0.000135707,0.002911589,0.00003597195,0.00009227048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002918656,0.001886391,0.07855688,0.0001614794,0.0002124549,0.000009477591,0.002053783,0.1019217,0.2003385,0.003626642,0.4528233,0.1581175],"study_design_scores_gemma":[0.0006597075,0.00003697869,0.0453171,0.00004442368,0.0001079897,0.000001342539,0.0001634666,0.622771,0.0007975586,0.007417983,0.3223429,0.0003395227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452524,0.00005743394,0.02794212,0.002108643,0.001504587,0.0009061397,0.00601345,0.00009105453,0.01612423],"genre_scores_gemma":[0.9916862,0.00001539958,0.001105971,0.0001581867,0.00001131651,0.000009377983,0.00121703,0.000008168713,0.005788369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5208493,"threshold_uncertainty_score":0.9441649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206600415558369,"score_gpt":0.2775029422103091,"score_spread":0.2554369380547254,"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."}}