{"id":"W3094543426","doi":"10.1175/jcli-d-20-0424.1","title":"Relative Importance of Internal Climate Variability versus Anthropogenic Climate Change in Global Climate Change","year":2020,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Overseas Expertise Introduction Project for Discipline Innovation; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; State Administration of Foreign Experts Affairs; National Natural Science Foundation of China","keywords":"Climatology; Precipitation; Climate change; Boreal; Environmental science; Mean radiant temperature; Extratropical cyclone; Ensemble average; Climate model; Atmospheric sciences; Geography; Geology; Meteorology","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":[0.002438759,0.0002288948,0.0002919821,0.0008900028,0.0002995289,0.001491188,0.0002078032,0.0002460102,0.0008288354],"category_scores_gemma":[0.007531517,0.0000880427,0.000542347,0.001280041,0.0007288856,0.0008093339,0.001037914,0.0006866702,0.00008132801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004256642,"about_ca_system_score_gemma":0.0002524653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002608988,"about_ca_topic_score_gemma":0.002890338,"domain_scores_codex":[0.9992837,0.0002779801,0.00004831372,0.0001340813,0.0001694813,0.00008638368],"domain_scores_gemma":[0.991808,0.005181145,0.001531804,0.000514392,0.0007348112,0.0002298428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001196649,0.00001688543,0.9501841,0.00006966095,0.0002380391,0.0001063909,0.0002069909,0.02616168,0.00153098,0.003377367,0.0002547322,0.01773353],"study_design_scores_gemma":[0.00000282318,0.00003528608,0.9640181,0.00003187269,0.00006416528,0.00007929258,0.0003999981,0.03130037,0.0006988252,0.002537123,0.0008153142,0.0000167279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910097,0.0006415091,0.003020831,0.000251861,0.00002186674,0.000006597395,0.0002859165,0.00002281631,0.004738904],"genre_scores_gemma":[0.999645,0.00007446079,0.0001120712,0.000008443867,0.00001422409,0.000001358361,0.00008506941,0.000004171129,0.00005526673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002608988,"threshold_uncertainty_score":0.01289749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05421158800527629,"score_gpt":0.31816184248366,"score_spread":0.2639502544783837,"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."}}