{"id":"W2963435216","doi":"10.1371/journal.pone.0219701","title":"Improvement in detecting cytomegalovirus drug resistance mutations in solid organ transplant recipients with suspected resistance using next generation sequencing","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cytomegalovirus and herpesvirus research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Instituto de Salud Carlos III; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica; Institute for Research in Biomedicine","keywords":"Sanger sequencing; Drug resistance; DNA sequencing; Transplantation; Resistance mutation; Medicine; Mutation; Population; Biology; Internal medicine; Virology; Polymerase chain reaction; Gene; Genetics; Reverse transcriptase","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":[0.008753854,0.0005318018,0.0005536753,0.00121345,0.00018918,0.001094444,0.0004706084,0.0006407725,0.001048891],"category_scores_gemma":[0.01252648,0.0002340367,0.0005519042,0.0004838521,0.0003440682,0.0008572168,0.0005685954,0.0005350635,0.0002773204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050998,"about_ca_system_score_gemma":0.0003672059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006615401,"about_ca_topic_score_gemma":0.00103165,"domain_scores_codex":[0.9965161,0.00182596,0.0003798841,0.0005015948,0.0006282385,0.0001481845],"domain_scores_gemma":[0.9934986,0.003289415,0.001700919,0.0005293486,0.0007756468,0.0002061295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004811619,0.00009358154,0.9625043,0.000121319,0.00009553699,0.0001271471,0.00009762219,0.0004557881,0.004623202,0.00004428323,0.0001573057,0.03119875],"study_design_scores_gemma":[0.00005411968,0.001397548,0.971704,0.0001798995,0.0002421884,0.002223549,0.0003245379,0.01415508,0.00792224,0.0002344386,0.001539131,0.00002325293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887573,0.002963698,0.006359226,0.000344386,0.0000417035,0.00004756984,0.0002446329,0.0001084024,0.001133072],"genre_scores_gemma":[0.9942252,0.0005050073,0.004718627,0.0001482503,0.00003101991,0.00001637471,0.0002108712,0.000008289108,0.0001362793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008753854,"threshold_uncertainty_score":0.04629534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0845264618520117,"score_gpt":0.2882246954141268,"score_spread":0.2036982335621151,"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."}}