{"id":"W2537682884","doi":"10.5194/gmd-10-4321-2017","title":"Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Climate variability and models","field":"Environmental Science","cited_by":675,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"National Key Research and Development Program of China; State Key Laboratory of Urban and Regional Ecology; Bundesministerium für Bildung und Forschung; European Commission; Leibniz-Gemeinschaft; Department for Environment, Food and Rural Affairs, UK Government; Agence Nationale de la Recherche; Met Office; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; National Science Foundation","keywords":"Coupled model intercomparison project; Representative Concentration Pathways; Global warming; Greenhouse gas; Environmental science; Climate change; Computable general equilibrium; United Nations Framework Convention on Climate Change; Climatology; Climate model; Global temperature; Global-warming potential; Kyoto Protocol; Environmental resource management; Natural resource economics; Economics","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":[0.01695444,0.001890501,0.0008896777,0.001132304,0.001366465,0.001494831,0.006399577,0.003374388,0.01574979],"category_scores_gemma":[0.01453063,0.001083219,0.002153184,0.00270938,0.0008595805,0.001854949,0.002216219,0.002846865,0.00327767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004193694,"about_ca_system_score_gemma":0.01415495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0525228,"about_ca_topic_score_gemma":0.04027511,"domain_scores_codex":[0.9938459,0.003457297,0.0003260043,0.0004710533,0.001416862,0.0004828239],"domain_scores_gemma":[0.9948261,0.0008908161,0.0003378463,0.001206778,0.002465579,0.0002728391],"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":[0.002800447,0.001154128,0.008976856,0.00153856,0.0008304004,0.0005620203,0.0005205439,0.6040624,0.009051496,0.0770589,0.2662645,0.0271797],"study_design_scores_gemma":[0.003827241,0.001165745,0.02240856,0.00120729,0.0005551435,0.0001422234,0.0007171602,0.2897066,0.01461767,0.06024786,0.6048793,0.0005252807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.05071257,0.0007269117,0.2185213,0.005899786,0.001980581,0.05159275,0.53218,0.003927617,0.1344586],"genre_scores_gemma":[0.197337,0.00121971,0.2409127,0.002221511,0.0001579826,0.176296,0.358169,0.0009228269,0.02276324],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.0525228,"threshold_uncertainty_score":0.1044342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09411830489857977,"score_gpt":0.3986788620770514,"score_spread":0.3045605571784717,"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."}}