{"id":"W4390144331","doi":"10.1101/2023.12.21.572738","title":"Systems genetics uncover new loci containing functional gene candidates in <i>Mycobacterium tuberculosis</i> -infected Diversity Outbred mice","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Ohio State University; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Vanderbilt University Medical Center; Texas Biomedical Research Institute; Vanderbilt University","keywords":"Biology; Quantitative trait locus; Mycobacterium tuberculosis; Genetics; Tuberculosis; Locus (genetics); Single-nucleotide polymorphism; Population; Genetic diversity; Genome-wide association study; Genotype; Gene; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003626086,0.0005448748,0.00029639,0.0007482219,0.0001543546,0.000311401,0.0003121747,0.0003654565,0.001171576],"category_scores_gemma":[0.0002447095,0.0002407312,0.0006090353,0.0003211961,0.0002764089,0.00008596318,0.0002939339,0.0005033956,0.0001214794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702512,"about_ca_system_score_gemma":0.0001787624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035334,"about_ca_topic_score_gemma":0.00148687,"domain_scores_codex":[0.9998012,0.00003665799,0.0000118992,0.00008331278,0.00003469994,0.00003226589],"domain_scores_gemma":[0.9997409,0.00008996409,0.0001110449,0.00001615252,0.00001034693,0.00003157642],"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":[0.000283808,0.00004885368,0.002927063,0.00002668835,0.00004166953,0.00008623101,0.00002125616,0.002349492,0.9916436,0.0003573235,0.00004542586,0.002168555],"study_design_scores_gemma":[0.0003269979,0.001345954,0.09376318,0.0000500723,0.0003635624,0.0008835136,0.0001089223,0.09565417,0.8022668,0.001319382,0.003852542,0.00006495113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845627,0.0001222172,0.01390494,0.00005424958,0.000007974701,0.00002658323,0.0008512365,0.0001677195,0.0003023907],"genre_scores_gemma":[0.9796737,0.0001432256,0.01767934,0.0000787469,0.00000417442,0.0001093576,0.001195013,0.00004824198,0.001068114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001171576,"threshold_uncertainty_score":0.003919363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034231599781668,"score_gpt":0.2577336357178301,"score_spread":0.2235020359361621,"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."}}