{"id":"W3027420058","doi":"10.34989/sdp-2020-3","title":"Scenario Analysis and the Economic and Financial Risks from Climate Change","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Climate change; Political economy of climate change; Economic analysis; Economics; Economic model; Scenario analysis; Low-carbon economy; Natural resource economics; Business; Finance; Macroeconomics; Agricultural 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":[0.002907545,0.0006894725,0.000411645,0.001388251,0.0005755767,0.001846116,0.0006802298,0.001714065,0.005353487],"category_scores_gemma":[0.01031966,0.0002063117,0.000806283,0.001671613,0.0007712161,0.002834596,0.001236619,0.001618566,0.0002488583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298406,"about_ca_system_score_gemma":0.0007047332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003306144,"about_ca_topic_score_gemma":0.002695851,"domain_scores_codex":[0.998616,0.001017055,0.00003685088,0.00007313307,0.0001791329,0.00007777272],"domain_scores_gemma":[0.9947802,0.004319032,0.000336757,0.0001771578,0.0002443284,0.0001425754],"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":[0.00008332033,0.00003676393,0.003906596,0.00008861709,0.0001324581,0.0002590424,0.0001083848,0.6703808,0.0002683462,0.3121558,0.003130859,0.009449087],"study_design_scores_gemma":[0.0000233544,0.00005113275,0.00304035,0.00008099674,0.00005484153,0.0001387024,0.0002965348,0.32411,0.0003640937,0.661181,0.01060657,0.00005238388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5224124,0.006801073,0.2847504,0.02850149,0.0007933555,0.0001821832,0.004131034,0.0003777856,0.1520503],"genre_scores_gemma":[0.9862425,0.002033141,0.009123531,0.0003003837,0.00009093995,0.00006017899,0.000529438,0.00004587214,0.001573917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005353487,"threshold_uncertainty_score":0.01790917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705834250387042,"score_gpt":0.3360467646338602,"score_spread":0.165463339595156,"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."}}