{"id":"W2911640357","doi":"10.1139/cjce-2018-0523","title":"Optimizing the entrance location for a fish pass facility with limited attraction flow in a large river — A case study of the Jinsha River, China","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Institute of Water Resources and Hydropower Research; National Natural Science Foundation of China","keywords":"Hydropower; Environmental science; Current (fluid); Flow (mathematics); Attraction; Channel (broadcasting); Fish <Actinopterygii>; Hydrology (agriculture); Flow velocity; Marine engineering; Fishery; Geology; Geotechnical engineering; Computer science; Engineering; Mechanics","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":[0.0008153069,0.0007228691,0.0006197008,0.0008046247,0.001357539,0.001163773,0.001169201,0.00114384,0.001989925],"category_scores_gemma":[0.0009838167,0.0004905131,0.0007478391,0.0007395099,0.0007179644,0.0008936023,0.0008459582,0.0004409327,0.0001649695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608606,"about_ca_system_score_gemma":0.003218751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05811359,"about_ca_topic_score_gemma":0.08366033,"domain_scores_codex":[0.9996402,0.00007117095,0.00001661522,0.00006428226,0.00005399631,0.00015376],"domain_scores_gemma":[0.9993926,0.0002059761,0.0000606523,0.00004209953,0.0001317881,0.0001668919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004764182,0.0006994588,0.04723809,0.0002401248,0.00007712895,0.004807294,0.0005113328,0.8875111,0.0176612,0.003116993,0.001255525,0.03640542],"study_design_scores_gemma":[0.00008881398,0.0005023638,0.01970236,0.00001660968,0.0001070914,0.0001726029,0.001183612,0.9708176,0.005376883,0.0007542869,0.001224414,0.00005330336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882675,0.00006879454,0.009182515,0.00008836798,0.000009577825,0.00008450422,0.00007579274,0.00007999279,0.002143146],"genre_scores_gemma":[0.9920223,0.00004760182,0.006345724,0.000006738574,0.00000163778,0.00003481053,0.00006064618,0.00001077238,0.001469763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05811359,"threshold_uncertainty_score":0.1155507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006116230934465092,"score_gpt":0.1769229091610468,"score_spread":0.1708066782265817,"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."}}