{"id":"W3205217583","doi":"10.1139/cjfas-2020-0395","title":"Hydrological control of a floodplain subsidy to littoral riverine fish","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Environment and Climate Change Canada; Université du Québec à Trois-Rivières","funders":"","keywords":"Floodplain; Gizzard shad; Littoral zone; Ecology; Perch; Environmental science; Trophic level; Dorosoma; Lake ecosystem; Fishery; Lepomis; Biology; Hydrology (agriculture); Ecosystem; Predation; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0001542432,0.00009520052,0.0001059454,0.0001984804,0.0002960646,0.0003330507,0.0001190121,0.000134357,0.0009475694],"category_scores_gemma":[0.0004725519,0.00008213561,0.000103965,0.0001484646,0.000336899,0.0001197376,0.000238204,0.0001195252,0.00006260981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012196,"about_ca_system_score_gemma":0.0006782261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1390581,"about_ca_topic_score_gemma":0.3455023,"domain_scores_codex":[0.9999524,0.00001191497,0.000002018678,0.00001027967,0.000006538048,0.00001676865],"domain_scores_gemma":[0.9996963,0.00005892579,0.00009342929,0.00001441768,0.00004928357,0.00008767918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00023039,0.0000481601,0.9445221,0.00001816762,0.00005493178,0.0001191135,0.0005078824,0.0009548841,0.04823554,0.0001522404,0.0001469869,0.005009525],"study_design_scores_gemma":[7.080105e-7,0.000009095054,0.9996127,3.644192e-7,0.000001733213,0.00000465006,0.000045613,0.00022024,0.00006923044,0.000006963412,0.00002782949,8.611883e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997893,0.000008342457,0.00003089732,0.000006484379,2.632801e-7,0.000001119404,0.00002860202,0.000001612371,0.0001335395],"genre_scores_gemma":[0.9997916,0.000007947542,0.00002683764,0.000003713096,6.77653e-7,0.000001185133,0.00003815548,8.069368e-7,0.0001291252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1390581,"threshold_uncertainty_score":0.2764975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011268148802722,"score_gpt":0.208421719291124,"score_spread":0.197153570488402,"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."}}