{"id":"W2472132332","doi":"10.5194/gmd-9-4087-2016","title":"WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6","year":2016,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":454,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"National Science Foundation","keywords":"Downscaling; Climatology; Environmental science; Climate model; Climate change; Coupled model intercomparison project; Baseline (sea); General Circulation Model; Meteorology; Precipitation; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004443675,0.0009287772,0.0005143415,0.0007788783,0.0008988875,0.001181485,0.001970237,0.0009502012,0.006777659],"category_scores_gemma":[0.004683618,0.0004646195,0.0006464919,0.001536895,0.0005466684,0.001733554,0.001592517,0.0017289,0.001042329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629987,"about_ca_system_score_gemma":0.005068941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07073206,"about_ca_topic_score_gemma":0.05608743,"domain_scores_codex":[0.9987522,0.0003932392,0.00005026957,0.0001910921,0.0004471633,0.0001659542],"domain_scores_gemma":[0.9972523,0.0002409368,0.0002515023,0.0006702431,0.001124396,0.0004605562],"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":[0.003342893,0.0008536322,0.06216209,0.0005585693,0.000629077,0.0005859176,0.0005982484,0.2545318,0.02188669,0.02461845,0.4640121,0.1662205],"study_design_scores_gemma":[0.002958152,0.0006981784,0.1190037,0.0002382485,0.000233342,0.0002355647,0.0006654283,0.4059699,0.03213714,0.01310363,0.4244759,0.0002807545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.3112884,0.0008602941,0.1097075,0.01141496,0.00191865,0.003305222,0.4231352,0.0194273,0.1189423],"genre_scores_gemma":[0.485183,0.0002381592,0.2481688,0.001088896,0.0002145899,0.002692062,0.2517838,0.0026494,0.007981353],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07073206,"threshold_uncertainty_score":0.1406407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04251580047742774,"score_gpt":0.2517366771592521,"score_spread":0.2092208766818243,"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."}}