{"id":"W2154226156","doi":"10.1016/j.jtbi.2013.08.020","title":"Adaptive responses of energy storage and fish life histories to climatic gradients","year":2013,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Natural Resources Limited; Ministry of Natural Resources","keywords":"Salvelinus; Trout; Range (aeronautics); Ecology; Environmental science; Life history theory; Biology; Local adaptation; Adaptation (eye); Climate change; Energy budget; Fish <Actinopterygii>; Life history; Fishery; Demography","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":[0.0005609153,0.0001741877,0.0001802131,0.0003957832,0.0002123149,0.0005892667,0.0003161785,0.0004809501,0.001883118],"category_scores_gemma":[0.002647536,0.0002927785,0.0002166081,0.0002599293,0.0005210779,0.0003486079,0.0004940628,0.0004343215,0.0001576234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002679824,"about_ca_system_score_gemma":0.0001333343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593444,"about_ca_topic_score_gemma":0.002102337,"domain_scores_codex":[0.9998611,0.00005243678,0.000009289535,0.00004036846,0.000009643683,0.00002713109],"domain_scores_gemma":[0.9988487,0.0005301256,0.0002532451,0.0001195278,0.00007687495,0.0001714634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001281164,0.0001995241,0.8812535,0.00005412721,0.0003778296,0.0002267077,0.0006725719,0.01014095,0.09312248,0.00104824,0.0002071239,0.01141581],"study_design_scores_gemma":[0.00001590698,0.00006783693,0.9941996,0.000001812369,0.0000245713,0.00007785259,0.0001526302,0.004151188,0.0007604665,0.0004694058,0.00006961831,0.000009122168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995618,0.00001849195,0.0001457177,0.00002586495,0.000001008616,0.000001408525,0.00003067555,0.000002892391,0.000212188],"genre_scores_gemma":[0.999772,0.00001283994,0.00007430324,0.00001308261,0.000001894736,0.000002670641,0.00003965895,0.000003289415,0.00008016937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001883118,"threshold_uncertainty_score":0.006299675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008488631147097856,"score_gpt":0.2204008843701428,"score_spread":0.211912253223045,"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."}}