{"id":"W2579614322","doi":"10.1139/cjfas-2016-0334","title":"Measuring the net biological impact of fisheries enhancement: pink salmon hatcheries can increase yield, but with apparent costs to wild populations","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hatchery; Fishery; Oncorhynchus; Fish hatchery; Maximum sustainable yield; Juvenile; Productivity; Escapement; Biology; Fishing; Fish <Actinopterygii>; Fisheries management; Environmental science; Aquaculture; Fish farming; Ecology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001222445,0.0003774378,0.0001472966,0.000425334,0.0002129493,0.000375882,0.0002327274,0.0002149386,0.001278132],"category_scores_gemma":[0.002007637,0.00007826299,0.0001961576,0.0004203233,0.0001803188,0.0005179373,0.0003370355,0.0001849884,0.0002264441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007294095,"about_ca_system_score_gemma":0.0006053143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510426,"about_ca_topic_score_gemma":0.04911577,"domain_scores_codex":[0.9994979,0.0001345513,0.00004121989,0.00008226851,0.000213739,0.00003027159],"domain_scores_gemma":[0.9989797,0.0001964619,0.0004361451,0.00006051979,0.0002330694,0.00009412599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001873536,0.0001466526,0.9614099,0.00007919451,0.0001519299,0.00004998642,0.000077702,0.00210683,0.0112531,0.000114462,0.0002162541,0.02420669],"study_design_scores_gemma":[0.000005295221,0.000399029,0.9943017,0.000009319577,0.00006399789,0.00002893083,0.00009550985,0.0009704102,0.00360432,0.00005357372,0.0004636788,0.00000423587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994034,0.000301834,0.001542198,0.00006025234,0.00001321107,0.00004019969,0.0004603047,0.00001722841,0.003530906],"genre_scores_gemma":[0.9963159,0.000202157,0.001793884,0.00003987211,0.000006270631,0.0000314093,0.0003509393,0.000003384642,0.001256081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01510426,"threshold_uncertainty_score":0.03003269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07793955999829352,"score_gpt":0.275138285804652,"score_spread":0.1971987258063585,"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."}}