{"id":"W4413401547","doi":"10.1242/jeb.250907","title":"Marine iguanas have lower metabolic rates during El Niño","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; Universidad San Francisco de Quito; Pontificia Universidad Católica del Ecuador; Azrieli Foundation; Tel Aviv University; North Carolina State University","keywords":"Iguana; Lizard; Biology; Upwelling; Effects of global warming on oceans; Ecology; Adaptation (eye); Sauria; Climate change; Global warming; Oceanography; 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":[0.00006606808,0.0001811536,0.0001893641,0.0002072523,0.0003025575,0.0002944663,0.0001349172,0.0002186024,0.001161547],"category_scores_gemma":[0.0002169787,0.000107581,0.0001347564,0.0001666733,0.0001967606,0.0001011484,0.0002979076,0.0002891959,0.0001531521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936311,"about_ca_system_score_gemma":0.0001171762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00995544,"about_ca_topic_score_gemma":0.01984428,"domain_scores_codex":[0.9999663,0.0000039334,0.000002037912,0.00001156874,0.000004491056,0.00001169676],"domain_scores_gemma":[0.9998811,0.0000088702,0.00005387239,0.000009707193,0.00001294559,0.00003336805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008128671,0.000103098,0.9461886,0.00005266843,0.0001371118,0.0002025689,0.0007419111,0.000348435,0.04254127,0.000105429,0.0004673779,0.008298581],"study_design_scores_gemma":[0.000001464103,0.00001853125,0.999512,0.000001781603,0.000004654875,0.00001846646,0.0000756386,0.00003467796,0.0001824204,0.00001086942,0.0001383071,0.000001261261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988686,0.00006701047,0.00003714123,0.00002968194,0.000006638378,0.0000020478,0.0001970297,0.000007817559,0.0007839569],"genre_scores_gemma":[0.998807,0.00006815649,0.00007800243,0.00005847887,0.000006338973,0.00000950633,0.0003720697,0.000003635906,0.0005968719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00995544,"threshold_uncertainty_score":0.019795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253689065811725,"score_gpt":0.2880764909234679,"score_spread":0.2755396002653507,"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."}}