{"id":"W2160818668","doi":"10.1139/f07-023","title":"Spatial and temporal patterns in the food web structure of a large floodplain river assessed using stable isotopes","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food web; Floodplain; Environmental science; Stable isotope ratio; Ecology; Food chain; Isotope analysis; Ecosystem; Isotopes of carbon; Spatial variability; Resource (disambiguation); Primary producers; Nutrient; Phytoplankton; Total organic carbon; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115169,0.00007278479,0.0001659716,0.0001162026,0.0002145949,0.00007271272,0.0002448238,0.00003743214,0.0003789783],"category_scores_gemma":[0.0001069151,0.00004753259,0.00002263537,0.0002963979,0.0006975529,0.0002977307,0.00002563488,0.00009879241,2.055674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004326898,"about_ca_system_score_gemma":0.000165549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02168831,"about_ca_topic_score_gemma":0.8089936,"domain_scores_codex":[0.9990689,0.00007621511,0.0002744083,0.0001074902,0.0002087071,0.0002643194],"domain_scores_gemma":[0.99952,0.0001125045,0.0001844241,0.00006327034,0.000008061782,0.0001117587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002643357,0.000006432218,0.9963274,0.000003383424,0.000006021036,0.00002185324,0.002076087,0.00003051611,0.0004085668,0.00003304618,0.00005076821,0.0010333],"study_design_scores_gemma":[0.000329731,0.0003520565,0.9844881,0.00002859364,0.00002592799,0.00009624009,0.00768473,0.003885101,0.0003252095,0.001174834,0.001502021,0.0001074098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987069,0.00008525073,0.0004759482,0.0003649023,0.00007282881,0.00006354046,0.00001468012,4.365523e-7,0.0002154888],"genre_scores_gemma":[0.9985733,0.000007165121,0.001164264,0.0002224734,0.000023429,1.663911e-7,3.18364e-7,0.000002312423,0.000006576875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7873054,"threshold_uncertainty_score":0.9848263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393774654751449,"score_gpt":0.2287000756543381,"score_spread":0.2147623291068236,"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."}}