{"id":"W4388682490","doi":"10.5463/thesis.425","title":"Strengthening data systems within learning health systems in Kenya","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athena Sustainable Materials Institute","funders":"Alliance for Accelerating Excellence in Science in Africa; Economic and Social Research Council; Medical Research Council; African Academy of Sciences; New Partnership for Africa's Development; Department for International Development; Government of the United Kingdom; Wellcome Trust","keywords":"Documentation; Referral; Quality (philosophy); Medicine; Health care; Medical emergency; Qualitative property; Medical record; Data quality; Quality management; Family medicine; Operations management; Computer science; Engineering; Management system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02495752,0.0003923526,0.0003492021,0.001992495,0.004810193,0.006311822,0.001781895,0.001614124,0.006081997],"category_scores_gemma":[0.02882854,0.0003077296,0.0003378272,0.002938282,0.005018537,0.007195849,0.006428127,0.001671967,0.0004504102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01315099,"about_ca_system_score_gemma":0.03789517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323917,"about_ca_topic_score_gemma":0.03331742,"domain_scores_codex":[0.970549,0.02391114,0.001106864,0.00078466,0.002065541,0.001582796],"domain_scores_gemma":[0.9583755,0.02741726,0.004989233,0.001396731,0.004854126,0.002967252],"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":[0.0003825783,0.000738496,0.05959173,0.02943978,0.0002367415,0.002665604,0.0960991,0.004763466,0.003778185,0.1734001,0.03499214,0.5939121],"study_design_scores_gemma":[0.0003331054,0.001521151,0.05805942,0.04329549,0.0002289742,0.0009009753,0.1478897,0.002819869,0.004333335,0.05667567,0.6837106,0.0002316047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4202912,0.06301432,0.02144151,0.2748844,0.001218043,0.007485957,0.00327428,0.0003525623,0.2080377],"genre_scores_gemma":[0.9463442,0.01371254,0.02834612,0.006203681,0.0002057846,0.001159776,0.0003907135,0.00002051466,0.003616697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02495752,"threshold_uncertainty_score":0.1319896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538953650524305,"score_gpt":0.4906063898363475,"score_spread":0.336711024783917,"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."}}