{"id":"W3000660161","doi":"10.1007/s10018-020-00263-w","title":"Climate sensitivity, agricultural productivity and the social cost of carbon in FUND","year":2020,"lang":"en","type":"article","venue":"Environmental Economics and Policy Studies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Social cost; Productivity; Agriculture; Econometrics; Agricultural productivity; Sensitivity (control systems); Carbon fibers; Distribution (mathematics); Upper and lower bounds; Microeconomics; Mathematics; Ecology; Macroeconomics","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":[0.001138537,0.0003127891,0.0003825402,0.0006666979,0.0003027433,0.001618527,0.0004860999,0.0007993273,0.00254903],"category_scores_gemma":[0.007017861,0.0001417612,0.0003370755,0.0006308306,0.001289189,0.002140775,0.0009728742,0.0006800794,0.00007668863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998706,"about_ca_system_score_gemma":0.0004991895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005693339,"about_ca_topic_score_gemma":0.003495145,"domain_scores_codex":[0.9997731,0.0001054138,0.000007927979,0.00003019592,0.00003063592,0.00005265419],"domain_scores_gemma":[0.9963272,0.002553042,0.0006452866,0.0001217483,0.000182682,0.0001699798],"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":[0.0001501318,0.00007369145,0.02863871,0.00007657336,0.00009813909,0.0002892686,0.0001905505,0.7413053,0.0009655044,0.2192929,0.001230046,0.007689118],"study_design_scores_gemma":[0.00002909836,0.0001080751,0.01865072,0.0000494799,0.00007643145,0.0001667731,0.0004184172,0.5957623,0.0008717835,0.3804297,0.00338436,0.00005286391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649253,0.0007619019,0.02042394,0.002079455,0.00004377905,0.00001395044,0.0002890426,0.00002607076,0.0114365],"genre_scores_gemma":[0.9986839,0.0001893878,0.0003920473,0.00002881084,0.000013057,0.000004617316,0.00002719729,0.000003509307,0.0006573691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005693339,"threshold_uncertainty_score":0.01450169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09419693513729262,"score_gpt":0.264014880288729,"score_spread":0.1698179451514364,"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."}}