{"id":"W2550159439","doi":"10.1175/jcli-d-16-0205.1","title":"The Uncertainty in the Transient Climate Response to Cumulative CO2 Emissions Arising from the Uncertainty in Physical Climate Parameters","year":2016,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"University of Victoria","keywords":"Climate change; Coupled model intercomparison project; Environmental science; Climate model; Climatology; Range (aeronautics); Greenhouse gas; Carbon cycle; Earth system science; Transient climate simulation; Uncertainty analysis; Transient (computer programming); Atmospheric sciences; Meteorology; Physics; Mathematics; Geology; Statistics; Computer science; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002252611,0.0003779916,0.00036465,0.0003019515,0.0003706285,0.001144215,0.0006494431,0.0006620169,0.001004457],"category_scores_gemma":[0.009808372,0.000358928,0.0006871131,0.0003345958,0.0008652993,0.001285288,0.0007991403,0.001035319,0.0001029432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010922,"about_ca_system_score_gemma":0.0003979495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004485522,"about_ca_topic_score_gemma":0.002116065,"domain_scores_codex":[0.9987203,0.0004112063,0.00005383993,0.0003355638,0.0003708035,0.000108265],"domain_scores_gemma":[0.9924837,0.005506086,0.0005081667,0.0009604676,0.0004460062,0.00009559085],"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":[0.0006654238,0.0001542352,0.02408127,0.00009780252,0.000219396,0.0001538079,0.0001353764,0.8862712,0.07019041,0.00526664,0.0003322094,0.01243223],"study_design_scores_gemma":[0.00006504496,0.0005710672,0.03411856,0.0000266944,0.0001191706,0.0001361324,0.0001460234,0.8660782,0.08713827,0.01001021,0.001452772,0.0001378423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494653,0.0000954675,0.0469403,0.0002695234,0.00002815976,0.00002227724,0.0002388135,0.0001465682,0.002793556],"genre_scores_gemma":[0.9981863,0.0000151682,0.001645104,0.00002261439,0.000002015616,0.000006526886,0.00004249053,0.000007979166,0.00007192106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004485522,"threshold_uncertainty_score":0.01191306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321195099087141,"score_gpt":0.2671728695668112,"score_spread":0.2539609185759398,"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."}}