{"id":"W2011896674","doi":"10.1139/f08-078","title":"Combining turbine blade-strike and life cycle models to assess mitigation strategies for fish passing dams","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; U.S. Army Corps of Engineers; Sveriges Lantbruksuniversitet","keywords":"Salmo; Hydropower; Brown trout; Fishery; Population; Fish migration; Trout; Environmental science; Fish <Actinopterygii>; Biology; Ecology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009039643,0.0009305173,0.0008322741,0.0006000747,0.0003702027,0.0006602241,0.0009311168,0.0009726635,0.002241033],"category_scores_gemma":[0.002108475,0.0005684605,0.001051634,0.0003829229,0.0002634517,0.0006492015,0.0005604422,0.000577951,0.0002813157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005155,"about_ca_system_score_gemma":0.001256555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03333098,"about_ca_topic_score_gemma":0.0271481,"domain_scores_codex":[0.9997421,0.0001090144,0.00001390921,0.00005229296,0.00003462589,0.00004795158],"domain_scores_gemma":[0.999267,0.0004593742,0.00008303425,0.00003126177,0.00009833787,0.00006084836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003561215,0.00001853402,0.003230992,0.00001119369,0.00004764614,0.00002130615,0.00001067717,0.9941122,0.0001740003,0.0003762631,0.0001101771,0.001851405],"study_design_scores_gemma":[0.000009522637,0.00004913588,0.0006901446,0.000002406093,0.00002255611,0.000008247728,0.000007124186,0.99873,0.00005996292,0.0002825327,0.0001327971,0.000005534961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8200513,0.0004204077,0.1679827,0.0003182927,0.0001397836,0.0001651444,0.001082064,0.0003500075,0.009490361],"genre_scores_gemma":[0.9823453,0.0001133077,0.01354856,0.00005745711,0.00001833694,0.0001902534,0.0003297698,0.00003556709,0.003361426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03333098,"threshold_uncertainty_score":0.06627393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859498201084287,"score_gpt":0.2429706601277823,"score_spread":0.1943756781169394,"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."}}