{"id":"W3115856677","doi":"10.3390/econometrics10040033","title":"Detecting and Quantifying Structural Breaks in Climate","year":2022,"lang":"en","type":"article","venue":"Econometrics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Recession; Coronavirus disease 2019 (COVID-19); Precipitation; Climate change; Economics; Financial crisis; Econometrics; Natural resource economics; Macroeconomics; Geography; Meteorology; Geology; Oceanography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004353078,0.00004936775,0.00009245709,0.0002213049,0.0002512229,0.00001418849,0.00008978091,0.00001987175,0.003046835],"category_scores_gemma":[0.00004725087,0.00005387542,0.00002118861,0.001017762,0.00003515108,0.0001136577,0.0003260552,0.000143613,0.00004283743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009862897,"about_ca_system_score_gemma":0.000001614863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002390598,"about_ca_topic_score_gemma":0.0003592383,"domain_scores_codex":[0.9994117,0.00003850381,0.0001291725,0.0001870313,0.00005592615,0.000177665],"domain_scores_gemma":[0.9997588,0.00007944241,0.00004901814,0.00008141543,5.459614e-7,0.00003072711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003408799,0.000004276182,0.9842014,0.000001315377,0.000002737835,0.000005998805,0.000190988,0.006534503,0.00003788224,0.00004443334,0.000008365447,0.008964657],"study_design_scores_gemma":[0.0002597733,0.00004172995,0.9295378,4.609993e-7,0.000009050982,0.00002670495,0.0003500524,0.06712129,0.00006520853,0.0007561862,0.001680095,0.0001516342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953806,0.0001171088,0.00002107099,0.0000683655,0.00006382779,0.00003123714,0.000003664855,0.0000103867,0.00430375],"genre_scores_gemma":[0.9995599,0.0000157086,0.0002517032,0.0001159418,0.000007153042,0.000005541873,0.000002210035,0.00000391143,0.00003789285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06058678,"threshold_uncertainty_score":0.9978645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784498587275373,"score_gpt":0.2440450039329221,"score_spread":0.2162000180601684,"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."}}