{"id":"W4200201854","doi":"10.1002/rra.3912","title":"Cumulative downstream turbine‐induced mortality and thresholds for facilitating upstream passage of American eel","year":2021,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Government of Ontario; Ontario Ministry of Natural Resources and Forestry","keywords":"Hydroelectricity; Population; Environmental science; Cumulative effects; Turbine; Habitat; Upstream (networking); Mortality rate; Geography; Fishery; Ecology; Demography; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003827211,0.0001171669,0.00009499883,0.0002979786,0.0002129343,0.0004145543,0.0002525944,0.000229078,0.0007167916],"category_scores_gemma":[0.001693165,0.00009110214,0.0002655382,0.0001091631,0.0002792197,0.0002292255,0.0002621951,0.0001907037,0.00004641301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126033,"about_ca_system_score_gemma":0.0004945155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04870624,"about_ca_topic_score_gemma":0.095016,"domain_scores_codex":[0.9998643,0.00002751234,0.000009087571,0.00005128789,0.00002224109,0.00002550807],"domain_scores_gemma":[0.9991811,0.0002657767,0.0002444549,0.00006690836,0.0001571799,0.00008457727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001274124,0.00005611061,0.9259604,0.0000254124,0.00006135336,0.00007662326,0.0002004489,0.05034251,0.01580053,0.0009720128,0.0003162828,0.006061021],"study_design_scores_gemma":[0.000003716444,0.0001455761,0.9286357,0.000007770129,0.00002847971,0.00005507159,0.0002438643,0.06841502,0.001681129,0.0005262378,0.0002478329,0.000009631261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977902,0.00001010121,0.001794996,0.00001053326,6.426378e-7,0.00000305398,0.00008211581,0.00001151414,0.000296925],"genre_scores_gemma":[0.9994872,0.000005048041,0.0003527088,0.000003061076,3.400547e-7,0.000002054696,0.00007184468,0.000001075044,0.00007676499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04870624,"threshold_uncertainty_score":0.09684545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0875522460753978,"score_gpt":0.3818754773945832,"score_spread":0.2943232313191854,"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."}}