{"id":"W4293750084","doi":"10.1111/ele.14093","title":"A common temperature dependence of nutritional demands in ectotherms","year":2022,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fondo para la Investigación Científica y Tecnológica; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; Fulbright Association; National Science Foundation","keywords":"Ectotherm; Acartia tonsa; Carcinus maenas; Eutrophication; Nutrient; Ecology; Biology; Dinoflagellate; Copepod; Environmental science; Global warming; Oceanography; Climate change; Crustacean","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001531503,0.000132875,0.0001868093,0.000132752,0.0001071098,0.0002334675,0.0001587533,0.0005101084,0.0006426135],"category_scores_gemma":[0.0005357331,0.00009612881,0.0001245132,0.0001610039,0.0003054692,0.0002572974,0.0002923027,0.0005182978,0.000348096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235097,"about_ca_system_score_gemma":0.00006811123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004801906,"about_ca_topic_score_gemma":0.001211351,"domain_scores_codex":[0.9998637,0.00002323829,0.000008960817,0.0000477781,0.00003921516,0.00001704159],"domain_scores_gemma":[0.9995951,0.000118702,0.0001076249,0.00006560794,0.00007457368,0.00003845418],"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":[0.0009490344,0.00003379911,0.09383698,0.0001618003,0.00004773995,0.002020619,0.0002907958,0.0008178146,0.8424318,0.0008466803,0.004081048,0.05448202],"study_design_scores_gemma":[0.00002690367,0.0002820281,0.9072556,0.00002160864,0.00002348591,0.006456155,0.0003217732,0.003792091,0.06508169,0.003206768,0.01349459,0.00003732463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9886824,0.001674153,0.003033642,0.003096924,0.00009472368,0.000007726164,0.000229783,0.0001058722,0.003074751],"genre_scores_gemma":[0.9956855,0.0006252122,0.0008218322,0.001588288,0.0001094306,0.00001743257,0.00010937,0.00002193472,0.001021164],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0006426135,"threshold_uncertainty_score":0.00214982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008994056726967346,"score_gpt":0.2067825724434517,"score_spread":0.1977885157164843,"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."}}