{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259025,0.00009423427,0.0001490295,0.00001440682,0.0001357578,0.00001306636,0.00006240248,0.00005231951,0.0007955605],"category_scores_gemma":[0.00004562563,0.00008149481,0.00001689456,0.00006134642,0.002396271,0.0003157465,0.0001546859,0.00005833933,0.00000480062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000798269,"about_ca_system_score_gemma":0.000001793207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007180721,"about_ca_topic_score_gemma":0.0008419132,"domain_scores_codex":[0.9994337,0.00002859112,0.0001183209,0.0001328592,0.00007270915,0.0002138422],"domain_scores_gemma":[0.9997659,0.00004228486,0.00005055415,0.00007763862,0.00000217501,0.00006143705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001183025,0.00002747707,0.7127538,0.00002129948,0.00002175953,0.000001911911,0.0009227567,1.174027e-7,0.00005770075,0.0008025314,0.2843982,0.0009805338],"study_design_scores_gemma":[0.0001498661,0.0000627722,0.8451629,0.000004799486,0.00001961598,0.000005676959,0.0009246043,0.000002653269,0.0002712435,0.001321896,0.1519796,0.00009434344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8324168,0.00008300087,0.00001134428,0.03806194,0.0002005127,0.0001797966,0.00003628986,0.0000431478,0.1289672],"genre_scores_gemma":[0.9939162,0.0003672108,0.0001399384,0.004481831,0.00001974272,0.00001332015,0.000004485391,0.000004405044,0.001052888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1614994,"threshold_uncertainty_score":0.882916,"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."}}