{"id":"W4400650338","doi":"10.1111/faf.12851","title":"Environmental drivers of food webs in charr and trout‐dominated cold‐water lakes","year":2024,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Agencia Estatal de Investigación; Norges Forskningsråd; Academy of Finland; Naturvårdsverket; Svenska Forskningsrådet Formas","keywords":"Salmo; Ecology; Trophic level; Threatened species; Lake ecosystem; Abiotic component; Trout; Biodiversity; Freshwater ecosystem; Fishery; Environmental science; Ecosystem; Brown trout; Habitat; Biology; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008250862,0.00009712389,0.0001374666,0.00003262372,0.00007149931,0.00002186551,0.00004973064,0.00005126493,0.0009703322],"category_scores_gemma":[0.000005617843,0.00007813684,0.00001719261,0.00004665318,0.0004637472,0.0002269122,0.0001925466,0.00006590586,0.00002027173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000216892,"about_ca_system_score_gemma":0.000001080174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273223,"about_ca_topic_score_gemma":0.001283225,"domain_scores_codex":[0.9994185,0.00001787886,0.0001185033,0.0002089131,0.00006928999,0.000166932],"domain_scores_gemma":[0.9998728,0.00002714546,0.00001410185,0.00005800926,5.919082e-7,0.0000273431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003314148,0.00004864747,0.9579539,0.00007769786,0.00005674714,0.00002724288,0.00373428,0.000002206554,0.001679361,0.000170845,0.03494075,0.001275148],"study_design_scores_gemma":[0.0003894535,0.0002042808,0.9093625,0.0000160893,0.00002327667,0.000003027037,0.001116706,0.00007406493,0.002308445,0.0004997621,0.08585964,0.0001427502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918027,0.0000774036,0.000003162038,0.001670194,0.00008136027,0.0001316932,0.00003053285,0.00002098507,0.006181986],"genre_scores_gemma":[0.9979151,0.0003551653,0.00002891,0.0004298821,0.000008237081,0.00002033838,0.000007891161,0.000006310908,0.001228203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0509189,"threshold_uncertainty_score":0.9999429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004063668174622512,"score_gpt":0.15978697024204,"score_spread":0.1557233020674175,"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."}}