{"id":"W3142714348","doi":"10.1088/1748-9326/abf28a","title":"Can we trust CMIP5/6 future projections of European winter precipitation?","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"Horizon 2020 Framework Programme; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Met Office; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Extratropical cyclone; Climatology; Environmental science; Precipitation; Atmosphere (unit); Climate model; Baroclinity; Eddy; Climate change; Atmospheric sciences; Geology; Meteorology; Oceanography; Geography; Turbulence","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":[0.01186151,0.001030143,0.0008881082,0.001134421,0.0007773101,0.006061628,0.002349392,0.002654763,0.01267669],"category_scores_gemma":[0.05103144,0.0004053359,0.0005368415,0.001583637,0.001096848,0.01116174,0.003698944,0.004180689,0.004660677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00318213,"about_ca_system_score_gemma":0.004307816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0546951,"about_ca_topic_score_gemma":0.03253908,"domain_scores_codex":[0.9972073,0.001312382,0.0002291832,0.0003880117,0.0005074567,0.0003555497],"domain_scores_gemma":[0.985112,0.003738282,0.001786091,0.002438373,0.004880721,0.002044543],"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":[0.0007020682,0.000132767,0.04084111,0.0008680276,0.000660588,0.0004180168,0.001085732,0.08920323,0.001426235,0.1188846,0.5230089,0.2227688],"study_design_scores_gemma":[0.0001350653,0.0001137565,0.02145645,0.002428365,0.0002646677,0.00017578,0.002265814,0.1205289,0.001952404,0.3691491,0.4811407,0.0003889985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07050691,0.02207423,0.0603794,0.7153143,0.02530992,0.00007698824,0.02138113,0.004246441,0.08071063],"genre_scores_gemma":[0.8768781,0.01526737,0.04265779,0.03985715,0.00566538,0.0001389686,0.009177871,0.001997106,0.008360269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0546951,"threshold_uncertainty_score":0.1087535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284767963860728,"score_gpt":0.2916070990562473,"score_spread":0.25875941941764,"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."}}