{"id":"W4413380836","doi":"10.1111/2041-210x.70103","title":"Measuring critical thermal maximum in aquatic ectotherms: A practical guide","year":2025,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of New Brunswick; Université de Montréal; Trent University","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Deakin University; H2020 Marie Skłodowska-Curie Actions; Australian Government","keywords":"Ectotherm; Environmental science; Critical thermal maximum; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008084747,0.00006806169,0.000127395,0.00004206331,0.00005813928,0.000004946603,0.00006007445,0.0001304161,0.0001877776],"category_scores_gemma":[0.001992891,0.00005465663,0.00001967533,0.0002233645,0.0002894331,0.00008446963,0.0001096052,0.0002002204,0.00002678641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705281,"about_ca_system_score_gemma":0.00001507084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001630456,"about_ca_topic_score_gemma":0.0003861231,"domain_scores_codex":[0.9988194,0.0005058114,0.0001949397,0.0002223055,0.00004692311,0.0002106224],"domain_scores_gemma":[0.9989423,0.0009358049,0.00001791613,0.00006993653,0.000002839107,0.00003117833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008434649,0.0004141243,0.4551162,0.00001572331,0.00000623518,0.00001090241,0.00009987962,0.0004088524,0.5143029,0.006579593,0.0001421408,0.0228191],"study_design_scores_gemma":[0.0001709848,0.00003372653,0.8185958,0.00001016736,0.000005401429,0.000002581137,0.00004769091,0.009311398,0.001489695,0.1701298,0.0001438457,0.00005896937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461539,0.00006347162,0.0404849,0.002196025,0.00009417871,0.0001121037,4.268613e-7,0.00001572711,0.0108793],"genre_scores_gemma":[0.8803602,0.000006980541,0.1191875,0.0003056184,0.000008323414,0.00003252621,5.129579e-7,0.000001707478,0.00009661481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5128133,"threshold_uncertainty_score":0.238582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04991320718488716,"score_gpt":0.376425030132256,"score_spread":0.3265118229473688,"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."}}