{"id":"W1932534618","doi":"10.1111/j.1755-0998.2010.02972.x","title":"Discovery and characterization of single nucleotide polymorphisms in Chinook salmon, <i>Oncorhynchus tshawytscha</i>","year":2011,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; Southwest Fisheries Science Center; Fisheries and Oceans Canada; Washington Department of Fish and Wildlife","keywords":"Biology; Oncorhynchus; Single-nucleotide polymorphism; Chinook wind; Sanger sequencing; Genetics; Population; Microsatellite; Expressed sequence tag; TaqMan; Minor allele frequency; Population genetics; Evolutionary biology; Allele; DNA sequencing; Fishery; Genome; Polymerase chain reaction; Genotype; Gene; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001395031,0.0001088616,0.000113728,0.0003622004,0.0001486703,0.0002567654,0.00009956022,0.0001630634,0.0002492114],"category_scores_gemma":[0.0003775958,0.00007840888,0.0001628173,0.0003184455,0.0001533257,0.00008332964,0.0001551656,0.0001865273,0.0001276127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798648,"about_ca_system_score_gemma":0.0002722584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005882769,"about_ca_topic_score_gemma":0.01948025,"domain_scores_codex":[0.99988,0.000008584911,0.00001451725,0.00004130062,0.0000398089,0.00001576575],"domain_scores_gemma":[0.9997445,0.00005092256,0.00009108758,0.0000127993,0.00006003642,0.00004070939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001617067,0.00003604484,0.1862008,0.00007183495,0.00005310632,0.0001591491,0.0004385608,0.0001417191,0.8000193,0.0001141844,0.0001178563,0.01248565],"study_design_scores_gemma":[0.000009216939,0.0001591611,0.9763774,0.000007865275,0.00003644039,0.0001664867,0.0001565257,0.000381479,0.02174819,0.00003868257,0.0009086012,0.000009933332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989323,0.00007837553,0.0003338454,0.0000126924,0.000002240601,0.000008113197,0.0004371905,0.000007085648,0.0001881451],"genre_scores_gemma":[0.9958526,0.00009497824,0.001356088,0.0000672478,0.000004887786,0.00002951903,0.00193063,0.000006501686,0.0006575962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005882769,"threshold_uncertainty_score":0.01169705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142374067471196,"score_gpt":0.1888674804101384,"score_spread":0.1807251063426672,"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."}}