{"id":"W2256500242","doi":"10.1093/bioinformatics/btv763","title":"Sampletrees and Rsampletrees: sampling gene genealogies conditional on SNP genotype data","year":2016,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"R package; Computer science; Documentation; Markov chain Monte Carlo; Source code; Code (set theory); SNP; Genotype; Markov chain; Data mining; Monte Carlo method; Programming language; Statistics; Biology; Genetics; Gene; Single-nucleotide polymorphism; Mathematics","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":[0.006908568,0.001117148,0.001301782,0.002611456,0.001126146,0.002085971,0.003107331,0.001275642,0.06429059],"category_scores_gemma":[0.03244631,0.001391915,0.001787143,0.003254418,0.001037544,0.002012371,0.001787694,0.002997655,0.01479824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006858184,"about_ca_system_score_gemma":0.002256578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004150932,"about_ca_topic_score_gemma":0.007301005,"domain_scores_codex":[0.997346,0.001538881,0.0001328359,0.0005463595,0.0003279372,0.0001079853],"domain_scores_gemma":[0.9864943,0.009902602,0.0005917842,0.001960956,0.0006996515,0.0003507489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001342118,0.0002741872,0.02334228,0.001482096,0.001018801,0.0006010773,0.0009454484,0.09751559,0.003956322,0.07942317,0.4537119,0.336387],"study_design_scores_gemma":[0.0009367931,0.0001818528,0.006241075,0.000373259,0.0002616471,0.0008270948,0.0001616538,0.5669935,0.007911135,0.1955536,0.2203692,0.000189108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01277911,0.0004586311,0.9083276,0.0006160754,0.0003235939,0.0004573675,0.04443341,0.02836838,0.004235873],"genre_scores_gemma":[0.08687422,0.0005561138,0.8138753,0.0006351473,0.0002710595,0.002511958,0.06759413,0.02014478,0.007537315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06429059,"threshold_uncertainty_score":0.2150734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09098278476994492,"score_gpt":0.3176090273950153,"score_spread":0.2266262426250704,"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."}}