{"id":"W4402311834","doi":"10.1029/2023wr034900","title":"Comprehensive Flow Turbulence Metrics to Improve Bar Rack Guidance for Downstream Migrating Fish","year":2024,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba","funders":"Fisheries and Oceans Canada","keywords":"Rack; Downstream (manufacturing); Turbulence; Bar (unit); Fish <Actinopterygii>; Environmental science; Flow (mathematics); Upstream (networking); Hydrology (agriculture); Geology; Marine engineering; Engineering; Fishery; Geotechnical engineering; Geography; Mechanics; Physics; Meteorology; Biology; Oceanography; Operations management; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005463606,0.0006956948,0.0004941014,0.001191694,0.0003742356,0.0006499726,0.0003432416,0.0002971097,0.001144593],"category_scores_gemma":[0.001242706,0.0001865885,0.0002550538,0.0004267097,0.0002034025,0.0006161865,0.0005074496,0.0003101648,0.0001935163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105903,"about_ca_system_score_gemma":0.0006441401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004002292,"about_ca_topic_score_gemma":0.007443203,"domain_scores_codex":[0.9997417,0.0000395578,0.00002628765,0.00005293812,0.0001039077,0.00003549403],"domain_scores_gemma":[0.9992954,0.00008560967,0.0001941938,0.00003610038,0.0003276806,0.00006106844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001351779,0.000515323,0.1175881,0.0004722723,0.00009468895,0.0002157694,0.0003065015,0.06167176,0.566182,0.001056977,0.00161506,0.2489298],"study_design_scores_gemma":[0.0001011333,0.003692059,0.4560725,0.00009866236,0.0001879812,0.0002185662,0.0006373508,0.3239233,0.2112442,0.000575062,0.003040917,0.0002083517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652146,0.000255597,0.03190352,0.00007374024,0.00003112678,0.000095819,0.0002103527,0.0007050815,0.001510034],"genre_scores_gemma":[0.9718229,0.00008066711,0.02711278,0.00001988451,0.00000607607,0.00004098561,0.0002805045,0.00004363079,0.0005927252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004002292,"threshold_uncertainty_score":0.007957995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03725473215898749,"score_gpt":0.3166113496019016,"score_spread":0.2793566174429141,"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."}}