{"id":"W4409820361","doi":"10.1007/s00704-025-05467-2","title":"Trends and historical patterns of meteorological droughts in New Brunswick, Canada, using PDSI and SEDI indices","year":2025,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Université du Québec à Montréal","funders":"Environmental Trust Fund, Government of New Brunswick","keywords":"Climatology; Environmental science; Physical geography; Meteorology; Geography; Atmospheric sciences; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000488052,0.0003993964,0.0003002761,0.002641866,0.001314144,0.001191412,0.0008859653,0.0001660445,0.001564139],"category_scores_gemma":[0.001464725,0.0002144706,0.0003357902,0.008538681,0.000433176,0.0004054721,0.0007091239,0.0004688489,0.0002572008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03117875,"about_ca_system_score_gemma":0.04380394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981389,"about_ca_topic_score_gemma":0.9994066,"domain_scores_codex":[0.9995468,0.00001799916,0.00004163934,0.00008570114,0.0001687141,0.0001391176],"domain_scores_gemma":[0.9980509,0.00007378447,0.0002428461,0.00004675138,0.001344014,0.0002417001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009100421,0.00002699627,0.9600584,0.0001824618,0.0001241522,0.0001450147,0.001100558,0.001393347,0.001053145,0.0004735097,0.0126472,0.02270428],"study_design_scores_gemma":[0.0000062375,0.000006368213,0.9858719,0.00006113062,0.0000348013,0.00003335897,0.001879636,0.001046365,0.0002113475,0.00002975169,0.01079544,0.00002379951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.853057,0.002927602,0.001004829,0.001136719,0.00006947695,0.0001914971,0.1284004,0.0001361241,0.01307635],"genre_scores_gemma":[0.9281837,0.003735013,0.002572089,0.0002994993,0.00001963819,0.0001949071,0.05562191,0.00004815913,0.009325191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03117875,"threshold_uncertainty_score":0.2262187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007065286814674633,"score_gpt":0.2204350260265885,"score_spread":0.2133697392119139,"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."}}