{"id":"W3163858249","doi":"10.4102/ajlm.v10i1.1225","title":"Improving laboratory quality and capacity through leadership and management training: Lessons from Zambia 2016–2018","year":2021,"lang":"en","type":"article","venue":"African Journal of Laboratory Medicine","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Sandia National Laboratories; University of Washington; Centers for Disease Control and Prevention; Washington State University; George Washington University; World Health Organization","keywords":"Accreditation; Standardization; Medical education; Quality management; Medical laboratory; Quality management system; Engineering management; Engineering; Medicine; Management system; Nursing; Operations management; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.003784215,0.0003318874,0.001348112,0.0001256676,0.0001699396,0.00005855438,0.0001521244,0.0001994357,0.00023052],"category_scores_gemma":[0.004134639,0.0002638951,0.00009462006,0.0006934672,0.0007674653,0.000534836,0.00008180723,0.000946682,0.000004032959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016564,"about_ca_system_score_gemma":0.0007403344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001046108,"about_ca_topic_score_gemma":0.00007106513,"domain_scores_codex":[0.9958169,0.0009790271,0.00148336,0.0005113649,0.0007867173,0.0004225557],"domain_scores_gemma":[0.9946438,0.001579284,0.001284656,0.0005200342,0.001268059,0.0007041508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01090475,0.003813581,0.1035108,0.006779573,0.01108964,0.01569355,0.08583543,0.00000543033,0.4995676,0.04791506,0.06157659,0.153308],"study_design_scores_gemma":[0.03793762,0.004296162,0.2391839,0.004855696,0.006274679,0.0004762459,0.2414092,0.00007172109,0.004529472,0.00281806,0.4566291,0.001518141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662242,0.02665388,0.000950805,0.1030141,0.0009625058,0.0003428078,0.0002735104,0.00005325361,0.001524979],"genre_scores_gemma":[0.9765756,0.002768813,0.005784943,0.01334138,0.001328988,0.000005218876,0.00001137496,0.00004417227,0.0001395818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4950382,"threshold_uncertainty_score":0.9999813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2813099869853969,"score_gpt":0.4038979636269667,"score_spread":0.1225879766415698,"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."}}