{"id":"W3112414800","doi":"10.1186/s12963-020-00242-z","title":"Linking household surveys and facility assessments: a comparison of geospatial methods using nationally representative data from Malawi","year":2020,"lang":"en","type":"article","venue":"Population Health Metrics","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johns Hopkins Bloomberg School of Public Health; Global Affairs Canada; Johns Hopkins University","keywords":"Geospatial analysis; Health geography; Environmental health; Public health; Health facility; Population; Catchment area; Medicine; Health informatics; Geographic information system; Population health; Cluster (spacecraft); Census; Geography; Health policy; Health services; Drainage basin; International health; Cartography; Nursing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06656773,0.0007094219,0.0006941285,0.005304451,0.000917469,0.003277189,0.001455224,0.0008677267,0.001772517],"category_scores_gemma":[0.1937702,0.0007342891,0.001416237,0.009224402,0.0008373996,0.00241778,0.004112946,0.0007193794,0.0003967843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923594,"about_ca_system_score_gemma":0.002428441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03696041,"about_ca_topic_score_gemma":0.04438519,"domain_scores_codex":[0.884581,0.1008648,0.00352364,0.003068755,0.006971496,0.0009902873],"domain_scores_gemma":[0.8776644,0.08273645,0.0159781,0.009791687,0.01309936,0.0007299118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006574939,0.0001486512,0.7901961,0.001398916,0.0027029,0.0001223136,0.01679114,0.006101499,0.000383412,0.003154823,0.003610253,0.1747325],"study_design_scores_gemma":[0.000203749,0.0007420357,0.9143594,0.002952403,0.001397356,0.0004167291,0.02230312,0.03028722,0.001160819,0.003021982,0.02295575,0.0001994211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8447122,0.005714812,0.1234516,0.001628116,0.0002254734,0.003971889,0.009750005,0.0004258099,0.01012007],"genre_scores_gemma":[0.900958,0.002790071,0.08574066,0.0003734594,0.00007194113,0.003610128,0.005636397,0.0001018622,0.0007175452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06656773,"threshold_uncertainty_score":0.352048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4750713995467427,"score_gpt":0.5463061761662171,"score_spread":0.07123477661947447,"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."}}