{"id":"W2105135936","doi":"10.1002/cyto.b.21045","title":"Quantification of mitochondrial toxicity in HIV‐infected individuals by quantitative PCR compared to flow cytometry","year":2012,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Center for AIDS Research, University of Washington","keywords":"Mitochondrial toxicity; Flow cytometry; Didanosine; Stavudine; Nuclear DNA; Mitochondrial DNA; Biology; Molecular biology; SYBR Green I; Real-time polymerase chain reaction; Mitochondrial disease; Lactic acidosis; Cytometry; Mitochondrion; Virology; Viral load; Antiretroviral therapy; Biochemistry; Human immunodeficiency virus (HIV); Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002536301,0.0005726595,0.001968566,0.002701851,0.0002010682,0.00004205393,0.0004611761,0.0007958547,0.0005954365],"category_scores_gemma":[0.005970854,0.0005424606,0.0004558721,0.009236827,0.0003382583,0.0003793027,0.0002776255,0.001165544,0.001805498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220743,"about_ca_system_score_gemma":0.0002867481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005312466,"about_ca_topic_score_gemma":0.000009169895,"domain_scores_codex":[0.9926841,0.0007540137,0.003213534,0.001053508,0.001095131,0.001199661],"domain_scores_gemma":[0.9924845,0.003199557,0.0008883867,0.0013945,0.0005841904,0.001448884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009050695,0.006990955,0.9589896,0.0001648529,0.0003657669,0.000007479776,0.0003159278,0.00001956808,0.008221935,0.0002314699,0.02110518,0.002682186],"study_design_scores_gemma":[0.007457533,0.001396005,0.967938,0.000511524,0.0003436251,0.00002434321,0.000263294,0.0006170317,0.007373937,0.00005243567,0.01341743,0.0006048566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728643,0.001232637,0.01871873,0.001061868,0.001231847,0.002176415,0.0009432041,0.0002009371,0.001570092],"genre_scores_gemma":[0.9708164,0.0001728256,0.02599095,0.0007298144,0.0004250604,0.0001996167,0.001175098,0.00008673376,0.0004035328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008948378,"threshold_uncertainty_score":0.9997027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090332768627046,"score_gpt":0.4347044453146778,"score_spread":0.3256711684519732,"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."}}