{"id":"W2100898330","doi":"10.1111/1755-0998.12056","title":"A 34K<scp>SNP</scp>genotyping array for<i>Populus trichocarpa</i>: Design, application to the study of natural populations and transferability to other<i>Populus</i>species","year":2013,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Oak Ridge National Laboratory; Biological and Environmental Research; Office of Science; Genome British Columbia; Battelle; U.S. Department of Energy","keywords":"Biology; Genotyping; Populus trichocarpa; SNP; SNP genotyping; Molecular Inversion Probe; Genetics; Single-nucleotide polymorphism; SNP array; Intraspecific competition; Genetic variation; Genotype; Gene; Genome; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007586187,0.0004397448,0.0004806066,0.0004568926,0.0003970085,0.0004200505,0.0005279935,0.0005375058,0.001340749],"category_scores_gemma":[0.0008943574,0.0003225417,0.0003840756,0.0004682819,0.0003129196,0.0001760797,0.0003469501,0.0006360021,0.0007298844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738422,"about_ca_system_score_gemma":0.0005985168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294009,"about_ca_topic_score_gemma":0.003067382,"domain_scores_codex":[0.9993252,0.0001691301,0.00005331807,0.0002498855,0.0001420274,0.00006044247],"domain_scores_gemma":[0.9994448,0.0001711772,0.0001468342,0.0000795143,0.00009101313,0.00006673718],"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":[0.0001264265,0.00004816084,0.004354313,0.00006016507,0.00002570426,0.00005282507,0.00003463418,0.001124839,0.9839892,0.0001338953,0.0001885715,0.009861234],"study_design_scores_gemma":[0.0001622446,0.001183469,0.1583879,0.00002458945,0.0002505525,0.0009420865,0.00006483834,0.01739652,0.8081416,0.0003966606,0.01294338,0.0001061557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8414522,0.000400661,0.1485606,0.0003141125,0.0000395517,0.00067614,0.0047256,0.001311644,0.002519599],"genre_scores_gemma":[0.597562,0.0002974172,0.3897302,0.0003345406,0.00003294094,0.001798423,0.006883206,0.0002560918,0.003105118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001340749,"threshold_uncertainty_score":0.00448525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171154077320369,"score_gpt":0.250501379016602,"score_spread":0.2333859712845651,"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."}}