{"id":"W2991357443","doi":"10.3389/fenvs.2019.00192","title":"Food Web Structure and Trophic Dynamics of a Fish Community in an Ephemeral Floodplain Lake","year":2019,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"South African Institute for Aquatic Biodiversity; Nedbank; Southern African Science Service Centre for Climate Change and Adaptive Land Management; Novo Nordisk Fonden; Rhodes University; National Research Foundation","keywords":"Ephemeral key; Food web; Trophic level; Floodplain; Fish <Actinopterygii>; Environmental science; Trophic cascade; Ecology; Fishery; Geography; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006799525,0.0001708675,0.0002962113,0.000181892,0.0001322391,0.00002050993,0.0008165614,0.0001014833,0.0009048256],"category_scores_gemma":[0.00002442174,0.0001728698,0.00003122036,0.0005858639,0.001914609,0.0006584473,0.0006230231,0.0004047127,0.00001090316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385903,"about_ca_system_score_gemma":0.00001695321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001210501,"about_ca_topic_score_gemma":0.03515968,"domain_scores_codex":[0.9981641,0.0002145463,0.0003135772,0.0004445604,0.0004172821,0.0004459509],"domain_scores_gemma":[0.9992464,0.00002731492,0.0001144508,0.0005044813,0.000001410683,0.0001060083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002143187,0.0001881124,0.980537,0.000004517658,0.00000331911,0.000002523053,0.0006304566,0.003976312,0.01247279,0.00001778065,0.00003042564,0.002115314],"study_design_scores_gemma":[0.0006157086,0.0004757761,0.9452295,0.000007350253,0.000006388221,0.000005685179,0.001448162,0.05012073,0.000762713,0.0009772877,0.0001458781,0.0002048212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987122,0.00001308333,0.00003065494,0.00007779754,0.0001820467,0.0002805458,0.0001239956,0.000006742389,0.0005729339],"genre_scores_gemma":[0.9965137,0.00002448446,0.003173466,0.0001960167,0.000004865983,0.000006778713,0.00002434282,0.00001064852,0.00004565328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04614442,"threshold_uncertainty_score":0.9907205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003376154161472791,"score_gpt":0.1858928369354275,"score_spread":0.1825166827739547,"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."}}