{"id":"W4414886029","doi":"10.1002/ecy.70222","title":"Reduced intraspecific variation in lake trout food webs under warmer temperatures and smaller ecosystem sizes","year":2025,"lang":"en","type":"article","venue":"Ecology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Queen's University; University of Toronto; Fisheries and Oceans Canada; Laurentian University; University of Guelph; Trent University; Ministry of Natural Resources and Forestry","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Food web; Intraspecific competition; Trophic level; Interspecific competition; Trout; Ecosystem; Trophic cascade; Foraging; Ecological niche","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003720816,0.0001512238,0.000193469,0.0006010288,0.0006569868,0.0005653398,0.0001997716,0.000189587,0.0009089473],"category_scores_gemma":[0.0007665126,0.0001440996,0.0002995372,0.0004541459,0.0005736289,0.0003110965,0.0004777627,0.0002877572,0.00005775356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279277,"about_ca_system_score_gemma":0.0006975008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09961706,"about_ca_topic_score_gemma":0.314094,"domain_scores_codex":[0.9997008,0.00003236481,0.00001637588,0.0001148392,0.0000798768,0.0000558662],"domain_scores_gemma":[0.9995727,0.00005001207,0.0001691072,0.00004768145,0.00007276137,0.00008770957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002671652,0.0000400938,0.9419419,0.00003046945,0.0003744705,0.00007199356,0.0008272345,0.0005817628,0.05106446,0.0002593216,0.0002105107,0.004330567],"study_design_scores_gemma":[7.510991e-7,0.000007203455,0.9995655,5.810468e-7,0.000006826667,0.000008971806,0.0000468322,0.0001331261,0.0001728641,0.00002232038,0.00003307413,0.000001924301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996129,0.0000233096,0.00008791484,0.000008069477,8.125638e-7,9.45275e-7,0.00005913202,0.000005828762,0.0002011746],"genre_scores_gemma":[0.999737,0.000006397494,0.00007160608,0.00001153704,6.912022e-7,0.000001707809,0.00007579877,0.000002558086,0.00009276657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09961706,"threshold_uncertainty_score":0.1980745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006499494993753959,"score_gpt":0.2149241999599361,"score_spread":0.2084247049661821,"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."}}