{"id":"W2083545139","doi":"10.1139/f10-061","title":"A comparison of stock and individual identification for sockeye salmon (Oncorhynchus nerka) in British Columbia provided by microsatellites and single nucleotide polymorphisms","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Alaska Department of Fish and Game","keywords":"Microsatellite; Oncorhynchus; Single-nucleotide polymorphism; Biology; SNP; Locus (genetics); Population; Genetics; Evolutionary biology; Fishery; Allele; Genotype; Gene; Fish <Actinopterygii>; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001585071,0.0002243004,0.0001773827,0.0007208146,0.0003645809,0.0004352703,0.0003393487,0.0002345646,0.0003871126],"category_scores_gemma":[0.003772877,0.0001963556,0.0001336461,0.0006065987,0.0003057562,0.0003489615,0.0003035939,0.0001625812,0.0001303484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474295,"about_ca_system_score_gemma":0.0007615479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3224896,"about_ca_topic_score_gemma":0.6691583,"domain_scores_codex":[0.9990126,0.0001434197,0.00005189316,0.0001786125,0.0005241763,0.00008927317],"domain_scores_gemma":[0.997505,0.0005195019,0.0004017352,0.00016713,0.001216325,0.0001903661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001196931,0.00001845412,0.9728699,0.00002444979,0.0001112226,0.0000624442,0.0004316879,0.00101784,0.005553224,0.00003667084,0.0001491868,0.01960522],"study_design_scores_gemma":[0.00000223346,0.00003855469,0.9985937,0.000002108542,0.0000141728,0.00003688241,0.0001399711,0.0006755975,0.0003954325,0.00001079366,0.00008676361,0.000003614203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999299,0.0000666679,0.0002171576,0.00001324674,8.420535e-7,0.000002911946,0.000105271,0.000004346924,0.0002903704],"genre_scores_gemma":[0.998676,0.00006651879,0.0006153141,0.00001062417,9.835406e-7,0.00000352491,0.0003007606,0.00000253966,0.0003237105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6775104,"threshold_uncertainty_score":0.6412251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860280005022144,"score_gpt":0.2425829585049387,"score_spread":0.2239801584547173,"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."}}