{"id":"W2073426765","doi":"10.1002/cyto.b.20487","title":"QASI, an international quality management system for CD4 T‐cell enumeration focused to make a global difference","year":2009,"lang":"en","type":"article","venue":"Cytometry Part B Clinical Cytometry","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics; Public Health Agency of Canada","funders":"","keywords":"Enumeration; Human immunodeficiency virus (HIV); Operations management; Quality (philosophy); Quality management system; Scale (ratio); External quality assessment; Coronavirus disease 2019 (COVID-19); Antiretroviral therapy; Management system; Business; Quality management; Computer science; Statistics; Operations research; Medicine; Mathematics; Viral load; Geography; Engineering; Disease; Immunology; Pathology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001759952,0.0003442919,0.0006677349,0.000398481,0.0002715724,0.0001190248,0.0007764861,0.0004067364,0.0002104465],"category_scores_gemma":[0.0005369114,0.0003022513,0.0003433726,0.0009257086,0.0001204859,0.0001416862,0.0001666733,0.0003387368,0.00202733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003812275,"about_ca_system_score_gemma":0.00007638498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732173,"about_ca_topic_score_gemma":0.00001543649,"domain_scores_codex":[0.996213,0.0005985206,0.001169097,0.0009910114,0.0002607539,0.0007676419],"domain_scores_gemma":[0.9978239,0.0005703713,0.0002417497,0.0008219032,0.0002377636,0.0003043325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006043468,0.007459064,0.4301227,0.000271385,0.001502121,0.0001198395,0.0001063651,0.000009994952,0.01183584,0.008732622,0.008338884,0.5254577],"study_design_scores_gemma":[0.00885605,0.003689658,0.9115825,0.00009396585,0.0001399294,0.00002407995,0.0002680102,0.00002028177,0.006190402,0.0002306453,0.06832688,0.0005775898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531771,0.0004216701,0.03239109,0.0007514916,0.002119719,0.001689047,0.001434627,0.0003124879,0.007702793],"genre_scores_gemma":[0.9921737,0.00005064667,0.003193692,0.0006659355,0.0002492671,0.0001846954,0.001130145,0.00001793973,0.002333993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5248801,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08951182679996453,"score_gpt":0.4306904357987587,"score_spread":0.3411786089987942,"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."}}