{"id":"W2048217351","doi":"10.1175/jcli-d-12-00579.1","title":"Uncertainties in CMIP5 Climate Projections due to Carbon Cycle Feedbacks","year":2013,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Met Office; Department for Environment, Food and Rural Affairs, UK Government; U.S. Department of Energy","keywords":"Coupled model intercomparison project; Environmental science; Representative Concentration Pathways; Context (archaeology); Radiative forcing; Climatology; Greenhouse gas; Climate model; Atmospheric sciences; Earth system science; Carbon cycle; Climate change; Forcing (mathematics); Range (aeronautics); Geology; Ecosystem; Materials science","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":[0.002726507,0.00113378,0.0002811275,0.0008126357,0.0003508889,0.001383007,0.0006859233,0.0008917086,0.001708748],"category_scores_gemma":[0.005429775,0.0005158733,0.0008795945,0.001290136,0.0003668009,0.00129745,0.0006638061,0.0006702234,0.0003440808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002033392,"about_ca_system_score_gemma":0.0007951486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283324,"about_ca_topic_score_gemma":0.01028987,"domain_scores_codex":[0.9990841,0.0003859326,0.00006224906,0.0001782861,0.0001988745,0.00009052263],"domain_scores_gemma":[0.9984583,0.0006622038,0.0002360108,0.0001699381,0.0004088064,0.0000647028],"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":[0.0002986991,0.00002796922,0.06330003,0.0001110585,0.0003165192,0.0001174894,0.00005633152,0.9160077,0.002648972,0.004048311,0.002927811,0.0101391],"study_design_scores_gemma":[0.00009771338,0.0001003386,0.08814719,0.0001592213,0.0002017962,0.00009516101,0.0001956852,0.8784655,0.01074185,0.009789377,0.01185127,0.0001548591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507129,0.0008507497,0.01653327,0.001365943,0.0002011488,0.0000339922,0.01521072,0.0008470378,0.01424416],"genre_scores_gemma":[0.99511,0.0001542165,0.001584426,0.00009962359,0.00001848939,0.00001896051,0.002790367,0.00004241268,0.0001814932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283324,"threshold_uncertainty_score":0.04540062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005066426600149592,"score_gpt":0.2172275832992844,"score_spread":0.2121611566991348,"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."}}