{"id":"W2147951180","doi":"10.1111/faf.12003","title":"Unintended consequences and trade‐offs of fish passage","year":2012,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Guelph","funders":"U.S. Fish and Wildlife Service; Leverhulme Trust; Great Lakes Fishery Commission","keywords":"Unintended consequences; Provisioning; Upstream (networking); Habitat; Ecosystem services; Biodiversity; Ecosystem; Environmental resource management; Resource (disambiguation); Business; Fishery; Ecology; Biology; Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0182901,0.000403351,0.0005467852,0.001318822,0.001085319,0.002938448,0.001207782,0.001549769,0.01080347],"category_scores_gemma":[0.08413419,0.0002964782,0.001152071,0.0009711625,0.003423329,0.003645845,0.003984275,0.002747167,0.0003794699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002327297,"about_ca_system_score_gemma":0.001232021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002123142,"about_ca_topic_score_gemma":0.004400587,"domain_scores_codex":[0.9877484,0.005855916,0.001319854,0.001501148,0.00267665,0.0008981216],"domain_scores_gemma":[0.8612223,0.09636839,0.02249365,0.009729519,0.007939264,0.002246808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00368196,0.0009028789,0.6904796,0.002782335,0.002438234,0.002518517,0.005588514,0.0159244,0.002354037,0.05392035,0.002253427,0.2171557],"study_design_scores_gemma":[0.0001792446,0.002658396,0.7676569,0.003543019,0.001519469,0.00181555,0.009183243,0.0111051,0.0047988,0.1592246,0.03808901,0.0002266322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932882,0.01258212,0.009529633,0.006987492,0.0004025453,0.0001149046,0.0007941528,0.00004186091,0.03666531],"genre_scores_gemma":[0.9955549,0.001590601,0.0009754711,0.0004825751,0.00007511688,0.00004175855,0.0001069373,0.00001293019,0.001159751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0182901,"threshold_uncertainty_score":0.09672844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463712161147156,"score_gpt":0.2013141738699191,"score_spread":0.1866770522584476,"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."}}