{"id":"W2955021457","doi":"10.7189/jogh.09.010806","title":"Data quality assessments stimulate improvements to health management information systems: evidence from five African countries","year":2019,"lang":"en","type":"article","venue":"Journal of Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; World Health Organization","keywords":"Data quality; Data management; Data collection; Information system; Service delivery framework; Process management; Medicine; Business; Knowledge management; Service (business); Political science; Computer science; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002374278,0.0002041017,0.000821346,0.00008788778,0.0001181691,0.0000996719,0.0005154487,0.00005356382,0.00002940923],"category_scores_gemma":[0.00005479389,0.0001583189,0.00006531277,0.00027444,0.00001717919,0.0009936938,0.0002816722,0.0002413618,0.0001892285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003423609,"about_ca_system_score_gemma":0.001751919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01609679,"about_ca_topic_score_gemma":0.0002004305,"domain_scores_codex":[0.9958293,0.0002333758,0.001769902,0.0002544748,0.001378007,0.0005349087],"domain_scores_gemma":[0.9963729,0.00006021153,0.001671066,0.0006662963,0.0003874898,0.0008420239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008132919,0.0007964935,0.8108937,0.01121635,0.001053483,0.00007625691,0.001574796,0.001192103,0.000008803368,0.005696718,0.09476158,0.06459685],"study_design_scores_gemma":[0.002639515,0.003429458,0.9428259,0.004598734,0.00005331466,0.00005494125,0.001996582,0.0004157895,8.195569e-7,0.0001857681,0.0436468,0.0001524118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683992,0.002147055,0.002129931,0.0208158,0.002039343,0.001992733,0.001790251,0.00003295037,0.0006526968],"genre_scores_gemma":[0.9760504,0.001485545,0.002797433,0.01925729,0.0002139562,0.000002806439,0.00009068136,0.000007727441,0.00009419201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1319322,"threshold_uncertainty_score":0.9904551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017518724154788,"score_gpt":0.4411221361962104,"score_spread":0.3909469489546625,"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."}}