{"id":"W2036963443","doi":"10.1098/rstb.2013.0622","title":"Screening ancient tuberculosis with qPCR: challenges and opportunities","year":2014,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Russian Academy of Sciences; Pennsylvania State University; Smithsonian Institution; National Science Foundation","keywords":"Ancient DNA; Tuberculosis; Mycobacterium tuberculosis complex; Mycobacterium tuberculosis; Biology; Computational biology; Primer (cosmetics); DNA sequencing; Polymerase chain reaction; DNA; Genetics; Gene; Medicine; Population; Pathology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04045115,0.001629688,0.002143033,0.002017652,0.0009962602,0.003429628,0.00237351,0.003193386,0.001959807],"category_scores_gemma":[0.03308406,0.001176871,0.0007353143,0.001634939,0.004460693,0.002883241,0.002311674,0.002750408,0.001426889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009419704,"about_ca_system_score_gemma":0.002224194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492695,"about_ca_topic_score_gemma":0.003610609,"domain_scores_codex":[0.9759663,0.01353457,0.001095695,0.002424702,0.006339617,0.0006391124],"domain_scores_gemma":[0.9670148,0.02030343,0.001879733,0.002972478,0.007023768,0.0008058467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006515702,0.0007443088,0.09683894,0.004959194,0.0003011337,0.0006699613,0.003317531,0.007438051,0.3136516,0.01315449,0.0102453,0.5480279],"study_design_scores_gemma":[0.0001585627,0.00472999,0.07826411,0.003391955,0.0006849797,0.008444126,0.008457907,0.08119973,0.4792334,0.08981334,0.2448768,0.0007451854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1719938,0.07966161,0.6891504,0.04053245,0.001880921,0.0006661696,0.001370532,0.001679044,0.0130651],"genre_scores_gemma":[0.4398726,0.03176907,0.5104383,0.006608907,0.001199839,0.001421798,0.0008062461,0.0003412715,0.007542043],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04045115,"threshold_uncertainty_score":0.2139287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678959111873378,"score_gpt":0.3218556607469634,"score_spread":0.1539597495596257,"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."}}