{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003266811,0.0002433385,0.0003019531,0.00008540229,0.0002876282,0.00003952473,0.0004090484,0.0001609796,0.000004532985],"category_scores_gemma":[0.0002893739,0.0001973686,0.00009166411,0.0002258767,0.0001070425,0.000005584648,0.00009523725,0.000119226,0.000006219673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001584858,"about_ca_system_score_gemma":0.00002860297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001457329,"about_ca_topic_score_gemma":0.0007021204,"domain_scores_codex":[0.998216,0.0002843278,0.0004036413,0.0005857694,0.0001493048,0.0003609487],"domain_scores_gemma":[0.998927,0.000114604,0.000101444,0.0005571848,0.0001671947,0.0001325709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001629429,0.0005394561,0.03936378,0.00004628216,0.0002430261,3.345832e-7,0.007896106,0.02151411,0.9225546,0.000910512,0.001470397,0.005298486],"study_design_scores_gemma":[0.001983964,0.004806284,0.827548,0.00001412653,0.0002541065,0.00001437927,0.005096703,0.0002499946,0.1283318,0.003881484,0.02740713,0.0004120375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.775894,0.0004523292,0.2199657,0.0004932531,0.0001020266,0.002975065,0.00001797081,0.00001520307,0.0000843988],"genre_scores_gemma":[0.9769736,0.00000264116,0.02057322,0.0009117516,0.0001040057,0.001150281,0.00002101234,0.00003321398,0.000230281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7942228,"threshold_uncertainty_score":0.8048459,"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."}}