{"id":"W4400833191","doi":"10.1002/joc.8571","title":"Central American climate extreme trends: A statistical analysis of <scp>CLIMDEX</scp> indices","year":2024,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Rectores; Universidad de Costa Rica; Consejo Superior Universitario Centroamericano; International Development Research Centre; University of California","keywords":"Precipitation; Climatology; Climate extremes; Environmental science; Extreme value theory; Trend analysis; Climate change; Statistical analysis; Meteorology; Geography; Statistics; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001173983,0.0002069599,0.000231876,0.002836221,0.0002327816,0.0006897354,0.0001902139,0.0001012871,0.001227503],"category_scores_gemma":[0.001889253,0.00007576193,0.0003105057,0.00506075,0.000209972,0.0002007471,0.0004474082,0.0002564559,0.0001402347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004095423,"about_ca_system_score_gemma":0.0006325973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0324816,"about_ca_topic_score_gemma":0.02492846,"domain_scores_codex":[0.9994973,0.0001547549,0.00003471713,0.00011642,0.0001456384,0.00005128887],"domain_scores_gemma":[0.9986097,0.0003677272,0.0003387237,0.0001796789,0.0004105094,0.00009380352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001314364,0.00003432004,0.9790309,0.00003713402,0.0003593414,0.00008769448,0.0001350422,0.002819928,0.0008488763,0.0005350618,0.003127944,0.01285228],"study_design_scores_gemma":[0.000003035047,0.00002211841,0.9921494,0.000005205351,0.00003185894,0.00002619558,0.0001997765,0.005165185,0.0001897879,0.00009135252,0.00211147,0.000004648059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987845,0.0001612685,0.0009952514,0.00005872434,0.00001163777,0.00003076065,0.008599915,0.0000945115,0.002202948],"genre_scores_gemma":[0.991297,0.00005874494,0.001070844,0.00001134519,0.00001419845,0.0000481258,0.007021341,0.00001847949,0.0004599186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0324816,"threshold_uncertainty_score":0.06458509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074429931285793,"score_gpt":0.3087110852580521,"score_spread":0.2879667859451942,"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."}}