{"id":"W4390428363","doi":"10.1016/j.cosust.2023.101401","title":"Climate stress testing in the financial industry","year":2023,"lang":"en","type":"article","venue":"Current Opinion in Environmental Sustainability","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Stress testing (software); Financial stability; Climate change; Business; Equity (law); Loan; Stress test; Financial sector; Finance; Accounting; Actuarial science; Financial system; Political science; Computer science","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":[0.001670905,0.0002125257,0.0002990869,0.000315264,0.0001614085,0.00004921745,0.0004100168,0.0002082564,0.00009225585],"category_scores_gemma":[0.0006538345,0.0002162361,0.00008321626,0.001226994,0.0001765666,0.0002960497,0.0002688077,0.0007960319,0.0001349871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008851211,"about_ca_system_score_gemma":0.00004513466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001650365,"about_ca_topic_score_gemma":0.00001426409,"domain_scores_codex":[0.9977087,0.00008078342,0.0007294993,0.0005934765,0.00009667996,0.0007908477],"domain_scores_gemma":[0.9991086,0.0001664789,0.0001929937,0.0004705874,0.000008972402,0.00005236257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001496091,0.000326005,0.9736573,0.0002469663,0.000001035042,0.000008693462,0.001069736,0.001042849,2.479443e-7,0.01008268,0.0002785924,0.01327095],"study_design_scores_gemma":[0.0005248765,0.00004847393,0.9403949,0.00004672847,7.489428e-7,0.00000137484,0.004764888,0.001620389,0.000001526726,0.03664635,0.01571651,0.0002331718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953431,0.001377778,0.00002442425,0.0008124097,0.0009536946,0.0007027599,0.0001564078,0.00004140255,0.0005879659],"genre_scores_gemma":[0.9989426,0.0003964871,0.00001178439,0.00003883916,0.0001812149,0.0002676811,0.00009960392,0.0000172963,0.00004448069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03326232,"threshold_uncertainty_score":0.8817854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05956612438294864,"score_gpt":0.2870113642217579,"score_spread":0.2274452398388093,"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."}}