{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01341348,0.003349623,0.002277904,0.006953354,0.001348748,0.002207214,0.003974287,0.003251552,0.05079497],"category_scores_gemma":[0.02627427,0.002011334,0.001860904,0.003004547,0.001987053,0.002750175,0.002564226,0.003833479,0.03672056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042994,"about_ca_system_score_gemma":0.002838678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867551,"about_ca_topic_score_gemma":0.006133561,"domain_scores_codex":[0.9919291,0.003500281,0.001460121,0.0007198983,0.002217114,0.000173481],"domain_scores_gemma":[0.9724746,0.01378714,0.002678097,0.003574986,0.006706948,0.0007783102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007529737,0.001010461,0.004702629,0.01386146,0.0001134214,0.0009528229,0.001245897,0.002665429,0.06012231,0.008171224,0.4629877,0.4434138],"study_design_scores_gemma":[0.0001867445,0.001723691,0.01094607,0.004336625,0.0001337662,0.001017857,0.0007880153,0.003359448,0.02818926,0.01562964,0.9333877,0.0003012457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009109006,0.01319155,0.8191183,0.00819297,0.005136654,0.02364717,0.05051769,0.02850597,0.0425807],"genre_scores_gemma":[0.007154767,0.006603326,0.9061362,0.003846785,0.000648341,0.0415718,0.007996516,0.002110442,0.02393198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05079497,"threshold_uncertainty_score":0.169926,"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."}}