{"id":"W2171358177","doi":"10.3732/apps.1200427","title":"Development and multiplexed amplification of SSR markers for <i>Thuja occidentalis</i> (Cupressaceae) using shotgun pyrosequencing","year":2013,"lang":"en","type":"article","venue":"Applications in Plant Sciences","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Pyrosequencing; Microsatellite; Loss of heterozygosity; Multiplex; Genetics; Genetic diversity; Allele; Shotgun sequencing; Evolutionary biology; DNA sequencing; Gene; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003347515,0.0004205766,0.0002174167,0.0006230191,0.0002144084,0.0004379195,0.0002986376,0.0002486328,0.0003637555],"category_scores_gemma":[0.0004634912,0.0001801807,0.0002494779,0.0003350549,0.0002030901,0.0001831178,0.0001994507,0.0002856078,0.0001711929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219548,"about_ca_system_score_gemma":0.0002885784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712996,"about_ca_topic_score_gemma":0.00466163,"domain_scores_codex":[0.999791,0.00001851753,0.00001695454,0.00009263305,0.00005868046,0.00002227896],"domain_scores_gemma":[0.9996691,0.00005983145,0.0001288167,0.00003339497,0.0000689518,0.00003983692],"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":[0.0001143466,0.00003426993,0.01283826,0.00004963814,0.00001758044,0.00007933628,0.00007901137,0.0002945738,0.9761155,0.00004157191,0.00002311699,0.0103127],"study_design_scores_gemma":[0.00005940927,0.0007731781,0.2816379,0.00003780102,0.0001537344,0.001349371,0.0002526648,0.005401381,0.7073635,0.0001933852,0.002728448,0.00004922614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894007,0.0001842419,0.009602392,0.00001702816,0.000005961996,0.00005122663,0.0003206025,0.0000805961,0.0003372363],"genre_scores_gemma":[0.9411142,0.0002292656,0.05614734,0.0000320999,0.000009752883,0.00009885965,0.001363253,0.00001969517,0.0009855785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001712996,"threshold_uncertainty_score":0.003405988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157404083691069,"score_gpt":0.2712076409614807,"score_spread":0.22963360012457,"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."}}