{"id":"W1935203768","doi":"10.1139/cjfas-2013-0362","title":"Genetic risks of supplementing trout populations with native stocks: a simulation case study from current Pyrenean populations","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salmo; Biology; Genetic diversity; Introgression; Population; Brown trout; Trout; Introduced species; Hatchery; Effective population size; Genetic structure; Mediterranean climate; Ecology; Fishery; Fish <Actinopterygii>; Demography; Genetics","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":[0.001023326,0.0004206165,0.0004109045,0.0005446909,0.0009243741,0.0008459129,0.0008775255,0.000821912,0.0009735196],"category_scores_gemma":[0.002667661,0.0002428669,0.0007209586,0.0005480525,0.0007427067,0.0005362677,0.000677964,0.0004767908,0.00008590065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002254231,"about_ca_system_score_gemma":0.000759003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07776258,"about_ca_topic_score_gemma":0.07467797,"domain_scores_codex":[0.9996011,0.0001834398,0.00002024895,0.00006590017,0.00004481906,0.00008456112],"domain_scores_gemma":[0.9983145,0.0009245044,0.0002165969,0.0001443863,0.0001887989,0.0002112684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006737218,0.001619466,0.3428752,0.00005936777,0.0003164838,0.0047011,0.001311423,0.6296128,0.003789701,0.003048795,0.0009727677,0.01101906],"study_design_scores_gemma":[0.0002992674,0.001826655,0.09073852,0.00002135233,0.000217097,0.0006710437,0.002189636,0.8994728,0.001224029,0.002118214,0.001142327,0.00007894063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990823,0.00001054117,0.0004047825,0.00002518234,0.00000104524,0.00001087018,0.00003473523,0.000005892654,0.000424552],"genre_scores_gemma":[0.9988016,0.00001576744,0.0007656604,0.000009477275,0.00000103825,0.0000149293,0.0000871273,0.000002153368,0.0003022875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9222374,"threshold_uncertainty_score":0.1546199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0867206272703572,"score_gpt":0.322440806920223,"score_spread":0.2357201796498658,"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."}}