{"id":"W4318775182","doi":"10.3390/jrfm16020085","title":"Impacts of Drought on Loan Repayment","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stress test; Loan; Climate change; Stress testing (software); Work (physics); Yield (engineering); Test (biology); Stress (linguistics); Environmental science; Business; Computer science; Engineering; Finance; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891006,0.0001524777,0.0001694062,0.0007581945,0.000381577,0.001002644,0.0002559506,0.0002578916,0.002557913],"category_scores_gemma":[0.00781897,0.0001406668,0.0002631138,0.001070664,0.0001905385,0.0009438826,0.0007852789,0.0004559233,0.0004505382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065412,"about_ca_system_score_gemma":0.0007353983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009499957,"about_ca_topic_score_gemma":0.01125036,"domain_scores_codex":[0.9989647,0.0003407489,0.0001117296,0.0001143753,0.0003012722,0.0001672345],"domain_scores_gemma":[0.9975768,0.0006272723,0.0006329992,0.000194439,0.0007365106,0.0002320993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004782909,0.0002675199,0.8843842,0.0000658084,0.0001546696,0.0005820545,0.0009346844,0.04262638,0.001986667,0.002939472,0.005318474,0.06026175],"study_design_scores_gemma":[0.00001411836,0.000425555,0.9371144,0.00002776836,0.00007562121,0.000191166,0.001789136,0.0479539,0.003047999,0.002397737,0.00692475,0.00003772573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898851,0.00006541791,0.001155841,0.0003436822,0.00001819242,0.00003297548,0.002131115,0.00004959789,0.006318041],"genre_scores_gemma":[0.9979045,0.00007142911,0.0005052674,0.00002781064,0.000007582882,0.00001484455,0.0007146765,0.000008130576,0.0007457842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009499957,"threshold_uncertainty_score":0.01888937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005393426670116525,"score_gpt":0.2183533414374825,"score_spread":0.2129599147673659,"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."}}