{"id":"W7112627442","doi":"","title":"Measuring critical thermal maximum in aquatic ectotherms: A practical guide","year":2025,"lang":"en","type":"article","venue":"Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences))","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deakin University; H2020 Marie Skłodowska-Curie Actions; Australian Government","keywords":"Critical mass (sociodynamics); Climate change; Limit (mathematics); Field (mathematics); Limiting; Critical thermal maximum; Thermal","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":[0.009643129,0.003061197,0.002177503,0.006832505,0.001300124,0.002123062,0.003794441,0.003383483,0.08410826],"category_scores_gemma":[0.02117464,0.002077525,0.001707547,0.002970972,0.001816723,0.002940487,0.002541004,0.003817169,0.05962247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000277,"about_ca_system_score_gemma":0.002745672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00228319,"about_ca_topic_score_gemma":0.007653949,"domain_scores_codex":[0.9945241,0.0022016,0.001122061,0.0005399798,0.001465722,0.000146557],"domain_scores_gemma":[0.9788807,0.01127479,0.001631376,0.002539964,0.005061964,0.0006112113],"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":[0.000623202,0.0007750032,0.003157543,0.01117549,0.00006828537,0.0008310179,0.001157329,0.001924998,0.03686734,0.007107209,0.5584251,0.3778875],"study_design_scores_gemma":[0.0001263547,0.001084147,0.007678398,0.003173739,0.00007317086,0.0008128302,0.0006375595,0.001811203,0.01313049,0.01110076,0.9601992,0.0001722379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008956117,0.01622727,0.7468879,0.01003483,0.006252774,0.02600026,0.08032197,0.03148444,0.07383456],"genre_scores_gemma":[0.006479485,0.008956825,0.8748299,0.004914565,0.0007714947,0.04057726,0.01360192,0.003128976,0.04673948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08410826,"threshold_uncertainty_score":0.2813702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03579930629594921,"score_gpt":0.2729362192985403,"score_spread":0.2371369130025911,"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."}}