{"id":"W2013577952","doi":"10.1186/1471-2105-10-78","title":"Performance of random forest when SNPs are in linkage disequilibrium","year":2009,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health","keywords":"Linkage disequilibrium; Single-nucleotide polymorphism; Tag SNP; Haplotype; Genetics; SNP; Linkage (software); SNP genotyping; Genetic association; Biology; Tree (set theory); Computational biology; Mathematics; Allele; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000348717,0.0001235936,0.0002497503,0.00006239519,0.00003083538,0.00000754948,0.0001817113,0.0001801114,0.000007742067],"category_scores_gemma":[0.0002289603,0.0001090134,0.0000860954,0.0000834438,0.00004879076,0.000008512301,0.00005324183,0.00007524819,0.00001083932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302634,"about_ca_system_score_gemma":0.00006216447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005513968,"about_ca_topic_score_gemma":0.0000621552,"domain_scores_codex":[0.9989832,0.00003877655,0.0005331277,0.00010876,0.00008964292,0.0002464757],"domain_scores_gemma":[0.9992906,0.00002888405,0.0002767724,0.0002942818,0.00005888098,0.00005055469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001391474,0.00007732015,0.9870729,0.0001161575,0.00001584361,3.482641e-7,0.0002361348,0.006477553,0.001400395,0.00004969272,0.002252408,0.002162034],"study_design_scores_gemma":[0.001680423,0.0003587604,0.8587856,0.00004533221,0.00001398561,0.000005100394,0.0001641953,0.1360944,0.0008748907,0.0002038609,0.001582902,0.0001906319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913264,0.0001839962,0.005428226,0.0001330286,0.00007104471,0.0001915517,0.00001734661,0.000007998366,0.002640438],"genre_scores_gemma":[0.97164,0.0001849696,0.02748807,0.0002577483,0.00006589471,0.000007104849,0.0001066577,0.000006589774,0.0002429891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296168,"threshold_uncertainty_score":0.4445437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317837875008818,"score_gpt":0.2384478062535839,"score_spread":0.2252694275034957,"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."}}