{"id":"W2966111723","doi":"10.1071/mf19197","title":"From an irrigation system to an ecological asset: adding environmental flows establishes recovery of a threatened fish species","year":2019,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"RealNetworks (Canada)","funders":"Charles Sturt University; La Trobe University","keywords":"Threatened species; River ecosystem; Habitat; Abundance (ecology); Fishery; Endangered species; Ecology; Juvenile fish; Population; Environmental science; Lake ecosystem; Ecosystem; Biology; Juvenile","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":[0.0003431686,0.0001847051,0.0001391561,0.000266628,0.0002785327,0.000935437,0.0004489569,0.0003732142,0.002689536],"category_scores_gemma":[0.0008943271,0.0001657182,0.000256775,0.000161185,0.0005203303,0.0008681365,0.0007442289,0.0003013182,0.0001405922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009815916,"about_ca_system_score_gemma":0.001017557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570953,"about_ca_topic_score_gemma":0.02515311,"domain_scores_codex":[0.9998897,0.00004216967,0.000003902373,0.00002237123,0.00001592618,0.00002580547],"domain_scores_gemma":[0.9998018,0.00004991493,0.00006039217,0.00001521151,0.00002651061,0.00004613872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000411231,0.0006388395,0.1677524,0.0001352007,0.0001111498,0.0005533458,0.0008234661,0.6962579,0.00920061,0.04894375,0.001896538,0.07327553],"study_design_scores_gemma":[0.00003205048,0.0005316228,0.05048674,0.00005392873,0.00008132635,0.00009139251,0.0008145582,0.9300721,0.001210538,0.01133754,0.005249166,0.00003894809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975069,0.0000399098,0.01413806,0.0003764824,0.0000132942,0.00003758816,0.0001055066,0.00004953884,0.01017061],"genre_scores_gemma":[0.9938211,0.00005147925,0.004002592,0.00002365257,0.000002697348,0.00002106508,0.0000297098,0.000008142909,0.002039556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570953,"threshold_uncertainty_score":0.03123617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787051979440501,"score_gpt":0.2639539305020509,"score_spread":0.2360834107076459,"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."}}