{"id":"W2086073390","doi":"10.1080/03632415.2011.616459","title":"NSERC's HydroNet: A National Research Network to Promote Sustainable Hydropower and Healthy Aquatic Ecosystems","year":2011,"lang":"en","type":"article","venue":"Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro; McGill University; Environment and Climate Change Canada; Fisheries and Oceans Canada; University of British Columbia; BC Hydro (Canada); Institut National de la Recherche Scientifique; University of Lethbridge; Université de Montréal; University of New Brunswick; Nalcor Energy (Canada); University of Alberta; Memorial University of Newfoundland; University of Waterloo; Government of Canada; Carleton University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Hydropower; Aquatic ecosystem; Environmental resource management; Government (linguistics); Business; Ecosystem; Sustainability; Process (computing); Environmental science; Environmental planning; Engineering; Ecology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00696813,0.000698729,0.0004983202,0.001994153,0.001958615,0.003047478,0.001880472,0.001115222,0.02862748],"category_scores_gemma":[0.005460101,0.000258029,0.0002733508,0.002165046,0.001041621,0.001536221,0.003334696,0.0007596163,0.005773282],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007565937,"about_ca_system_score_gemma":0.07061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2308042,"about_ca_topic_score_gemma":0.2944314,"domain_scores_codex":[0.9966173,0.0006019829,0.00009518424,0.0002787601,0.001904825,0.0005020367],"domain_scores_gemma":[0.9808334,0.001148204,0.0007408704,0.0007505092,0.01096488,0.005562149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002854911,0.0002134146,0.007644541,0.0006080845,0.00002539128,0.000221943,0.0003033794,0.002991242,0.004493199,0.0244189,0.7788971,0.1798973],"study_design_scores_gemma":[0.0000830779,0.0001668083,0.008184803,0.0003565958,0.00001604893,0.00007908651,0.0004996417,0.004474873,0.002119651,0.003097997,0.9808931,0.00002823377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05646823,0.01828762,0.04006958,0.1179542,0.006069503,0.003074747,0.08385689,0.007658279,0.6665611],"genre_scores_gemma":[0.2394312,0.0164575,0.1313919,0.00596273,0.000669257,0.00181584,0.05970621,0.001592834,0.5429724],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9924341,"threshold_uncertainty_score":0.4589216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264450439748713,"score_gpt":0.2764552761315315,"score_spread":0.2338107717340444,"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."}}