{"id":"W2145054444","doi":"10.1111/j.1365-2028.2009.01163.x","title":"Intra‐lake stable isotope ratio variation in selected fish species and their possible carbon sources in Lake Kyoga (Uganda): implications for aquatic food web studies","year":2009,"lang":"en","type":"article","venue":"African Journal of Ecology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"National Agricultural Research Organisation; University of Waterloo","keywords":"Trophic level; Food web; Isotopes of carbon; Stable isotope ratio; Environmental science; Phytoplankton; Ecology; Carbon fibers; Trophic state index; δ15N; Food chain; Environmental chemistry; δ13C; Biology; Total organic carbon; Chemistry; Nutrient","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":[0.000416821,0.0003241354,0.000424899,0.001267337,0.0007581497,0.0005756225,0.0002285147,0.0002977058,0.0007618316],"category_scores_gemma":[0.0007035265,0.000298752,0.0001812421,0.001244657,0.0005060611,0.0004735689,0.0006815776,0.0001856161,0.0001087448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756901,"about_ca_system_score_gemma":0.0002784289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149455,"about_ca_topic_score_gemma":0.02089908,"domain_scores_codex":[0.9998651,0.00004305084,0.00001442647,0.00003209498,0.00001569208,0.00002967004],"domain_scores_gemma":[0.9997436,0.00005941286,0.00008388743,0.0000113733,0.00006107725,0.00004066756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002623151,0.00002713534,0.9808984,0.00008776622,0.00005659743,0.0002152688,0.00169174,0.0001834301,0.01062526,0.00004361851,0.00005172472,0.005856785],"study_design_scores_gemma":[0.000003232343,0.00005125281,0.998108,0.00001166523,0.00001457707,0.00006589783,0.001011888,0.0003158237,0.0002379138,0.00003901786,0.0001343347,0.000006433666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996482,0.0001140237,0.00005090145,0.00000969669,9.00311e-7,0.000003061427,0.00005273651,0.000001198786,0.0001191602],"genre_scores_gemma":[0.9995403,0.00006121959,0.0002400664,0.000008334503,0.000001035788,0.0000120463,0.00004836393,9.846755e-7,0.00008756315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149455,"threshold_uncertainty_score":0.02285528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451273397499162,"score_gpt":0.2333236958905958,"score_spread":0.2188109619156042,"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."}}