{"id":"W2173774584","doi":"10.1139/f2011-075","title":"Application of a method for estimating effective population size and admixture using diagnostic single nucleotide polymorphisms (SNPs): implications for conservation of threatened Paiute cutthroat trout (<i>Oncorhynchus clarkii seleniris</i>) in Silver King Creek, California","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service","keywords":"Oncorhynchus; Trout; Biology; Hatchery; Rainbow trout; Population; Threatened species; Single-nucleotide polymorphism; Fishery; Zoology; Ecology; Genetics; Demography; Gene; Fish <Actinopterygii>; Genotype","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":[0.009552742,0.0006727714,0.0008115349,0.001961348,0.0009517541,0.001050257,0.001719551,0.001254609,0.0007057859],"category_scores_gemma":[0.02187441,0.0005720941,0.0009938745,0.001454277,0.0009965408,0.0007000333,0.0009641355,0.001479058,0.0001576581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008635025,"about_ca_system_score_gemma":0.001425493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191375,"about_ca_topic_score_gemma":0.01678559,"domain_scores_codex":[0.9963226,0.001691147,0.000239788,0.001084058,0.0005724059,0.00009001452],"domain_scores_gemma":[0.9889941,0.00871381,0.0007549924,0.0007240559,0.0006412382,0.0001718211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004849186,0.0002852117,0.296487,0.0003518769,0.002032308,0.0004939681,0.001897116,0.2387316,0.01578358,0.02260318,0.002384958,0.4184642],"study_design_scores_gemma":[0.0001408236,0.0001476312,0.05600975,0.00007051555,0.0001679394,0.0003981263,0.0002115046,0.9207547,0.003706146,0.01427875,0.003987658,0.0001265225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06951121,0.0001632432,0.9290441,0.0001069754,0.00002944626,0.0000989564,0.0001849236,0.0003695437,0.0004915191],"genre_scores_gemma":[0.3587152,0.0001119245,0.6394356,0.00009728623,0.00002450194,0.00030664,0.0005606616,0.00008557099,0.0006624615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01191375,"threshold_uncertainty_score":0.05052036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568675716975173,"score_gpt":0.2533476796868799,"score_spread":0.2276609225171281,"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."}}