{"id":"W2743355435","doi":"10.2139/ssrn.3001221","title":"An Economic Anatomy of Optimal Climate Policy","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006235793,0.00009522502,0.000122984,0.00004671891,0.0002925199,0.00006431348,0.0004959464,0.00003810151,0.0003361985],"category_scores_gemma":[0.00001258614,0.00008928893,0.00006368679,0.00002331101,0.00007779227,0.0004731928,0.0001141017,0.0003822299,0.0001296438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007388555,"about_ca_system_score_gemma":0.0001326561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000713555,"about_ca_topic_score_gemma":0.001686599,"domain_scores_codex":[0.9982771,0.00001219474,0.0001633901,0.0001308239,0.00009589588,0.001320642],"domain_scores_gemma":[0.9994203,0.000005928543,0.0001736566,0.0003068965,0.00000359968,0.00008961817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002799188,0.0004050971,0.4489341,0.00004275782,0.0003073533,0.00004388137,0.002138678,0.05740153,0.04606389,0.1714971,0.0003498199,0.2725358],"study_design_scores_gemma":[0.008178717,0.00447443,0.6662691,0.0001600319,0.0002433409,0.00377181,0.008292267,0.07255665,0.02058924,0.1903817,0.02202623,0.003056452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958048,0.00009755315,0.0002429094,0.0003961606,0.00007836977,0.00004037727,0.00000577743,0.00001106445,0.003322966],"genre_scores_gemma":[0.9972728,0.00226415,0.0001028495,0.0000186011,0.0002208104,0.000001300675,0.000001646748,0.00001382983,0.000103958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2694793,"threshold_uncertainty_score":0.3681138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007885721976953851,"score_gpt":0.2821418803596757,"score_spread":0.2742561583827218,"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."}}