{"id":"W4403824403","doi":"10.1073/pnas.2322595121","title":"Water quality–fisheries tradeoffs in a changing climate underscore the need for adaptive ecosystem–based management","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; U.S. Geological Survey; National Natural Science Foundation of China; U.S. Department of the Interior; Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Adaptive management; Ecosystem; Climate change; Environmental science; Environmental resource management; Aquatic ecosystem; Fisheries management; Freshwater ecosystem; Water quality; Holistic management; Hypoxia (environmental); Business; Fishery; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001779305,0.0003045703,0.0003794594,0.0003958325,0.0009922179,0.002381692,0.0006220947,0.0008596162,0.001715118],"category_scores_gemma":[0.004940748,0.0002188998,0.0005603619,0.0006985372,0.001322044,0.002756773,0.001379138,0.001194598,0.0001417549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003384413,"about_ca_system_score_gemma":0.001876836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05081298,"about_ca_topic_score_gemma":0.1254786,"domain_scores_codex":[0.9994821,0.0001827909,0.00002653222,0.0001277086,0.00009561284,0.00008529355],"domain_scores_gemma":[0.9983576,0.0007497359,0.0004568745,0.0001324766,0.0001829469,0.0001203567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001862546,0.0002452156,0.4597835,0.000252742,0.0007863076,0.0005485603,0.0009888797,0.4171605,0.009719555,0.03669462,0.003850188,0.06978375],"study_design_scores_gemma":[0.00002187516,0.0002576407,0.320127,0.000119129,0.0002194324,0.0001969599,0.003906189,0.5028149,0.003090355,0.1562227,0.01280074,0.0002229839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148598,0.0008023987,0.05838292,0.007852496,0.00008770054,0.00004847573,0.0008075953,0.0001863024,0.01697228],"genre_scores_gemma":[0.9913288,0.0002989568,0.007433682,0.0003905994,0.00002402056,0.00001335396,0.0001173062,0.00002246118,0.000370799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05081298,"threshold_uncertainty_score":0.1010345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05454833258668197,"score_gpt":0.2912438811204345,"score_spread":0.2366955485337525,"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."}}