{"id":"W7135197193","doi":"10.15517/rev.biol.trop..v73is1.64044","title":"Climate Change Scenarios in the Southern Caribbean region of Central America","year":2025,"lang":"en","type":"article","venue":"Revista de Biología Tropical","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vicerrectoría de Investigación, Universidad de Costa Rica; Universidad de Costa Rica; Consejo Superior Universitario Centroamericano; International Development Research Centre","keywords":"Downscaling; Precipitation; Climate change; Coupled model intercomparison project; General Circulation Model; Global warming; Arid; Per capita","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000782128,0.0001177568,0.0001859653,0.00002572099,0.00005332749,0.00001767201,0.0002660062,0.00007768904,0.0002112392],"category_scores_gemma":[0.00003088783,0.00007608985,0.0000835847,0.0002045193,0.000279737,0.00004284768,0.0001485628,0.0001348698,0.00007194367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901382,"about_ca_system_score_gemma":0.000003110941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006137353,"about_ca_topic_score_gemma":0.0001165991,"domain_scores_codex":[0.9989345,0.0001576152,0.0002049681,0.0002042324,0.00009736997,0.0004012916],"domain_scores_gemma":[0.9995785,0.00005473946,0.00006268929,0.0002546101,0.000001053503,0.00004840567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004959551,0.0001173557,0.9776368,0.00002055328,0.000004763511,0.00002267896,0.001451694,0.000006987224,0.002416879,0.0001905938,0.0005243272,0.01755781],"study_design_scores_gemma":[0.0002442705,0.0001038786,0.9850218,0.00005750894,0.00001879005,0.00001124431,0.001241241,0.0002090396,0.00007130131,0.00005507948,0.01286459,0.0001012038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966842,0.0002472283,0.00008044438,0.001449189,0.00003140361,0.0002720355,0.0000225725,0.00001232572,0.001200613],"genre_scores_gemma":[0.9980522,0.0006230728,0.00006192453,0.001156087,0.00004019738,0.00002388646,0.00001442207,0.000005769366,0.00002240721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0174566,"threshold_uncertainty_score":0.3102854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098059212898736,"score_gpt":0.2626753677363903,"score_spread":0.231694775607403,"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."}}