{"id":"W438915147","doi":"10.1016/j.jglr.2015.02.010","title":"Natural trophic variability in a large, oligotrophic, near-pristine lake","year":2015,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, Davis; U.S. Geological Survey; Trust for Mutual Understanding; University of Washington; Waitt Foundation; National Science Foundation","keywords":"Trophic level; Littoral zone; Benthic zone; δ13C; Profundal zone; δ15N; Pelagic zone; Environmental science; Isotope analysis; Stable isotope ratio; Eutrophication; Ecology; Spatial variability; Isotopic signature; Trophic state index; Isotopes of carbon; Oceanography; Biology; Geology; Total organic carbon; Nutrient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001936808,0.0001376445,0.0002227105,0.0006957259,0.001072733,0.0005875939,0.0003430306,0.0002678585,0.0005999305],"category_scores_gemma":[0.0004692473,0.0002097765,0.0001629801,0.0006753223,0.0009264246,0.0003674759,0.0007128144,0.0001592858,0.0001230399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008714957,"about_ca_system_score_gemma":0.0004921971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0288278,"about_ca_topic_score_gemma":0.1011582,"domain_scores_codex":[0.9998827,0.00002522613,0.000008922137,0.00003624202,0.00002074087,0.00002617931],"domain_scores_gemma":[0.9997253,0.00006369978,0.00005279069,0.00002065006,0.00005414571,0.00008349703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005217522,0.00009784794,0.9782054,0.00002426322,0.00009322818,0.0004350065,0.002484503,0.000495301,0.01383029,0.0001363375,0.0002070898,0.0034689],"study_design_scores_gemma":[0.000004227722,0.00002632994,0.9985179,0.000001336976,0.00001056589,0.00008654984,0.000429113,0.00070659,0.0001051253,0.00003329921,0.0000753041,0.000003652959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998523,0.000004664145,0.00001340668,0.000004740292,1.477511e-7,4.830189e-7,0.00003398858,0.000001582342,0.00008862161],"genre_scores_gemma":[0.9998411,0.00000360617,0.00003494508,0.000002952438,4.90197e-7,0.000001540581,0.00005674419,0.000001048725,0.00005758454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0288278,"threshold_uncertainty_score":0.05732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793923501248403,"score_gpt":0.3370105074528182,"score_spread":0.2990712724403342,"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."}}