{"id":"W1786498478","doi":"10.5210/ojphi.v7i1.5764","title":"A Novel Method for Defining Health Facility Catchment Areas in a Low Income Country","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Catchment area; Measure (data warehouse); Health facility; Drainage basin; Geography; Health care; Business; Computer science; Statistics; Environmental health; Health services; Medicine; Economic growth; Economics; Data mining; Mathematics; Cartography; Population","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":[0.003564441,0.0006028124,0.0007615084,0.007686334,0.001099522,0.002167156,0.001221824,0.0008157577,0.003031214],"category_scores_gemma":[0.01750865,0.0003618009,0.0006316458,0.005405188,0.0006434639,0.001284659,0.002249692,0.000825807,0.0004618979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008866899,"about_ca_system_score_gemma":0.001731892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120554,"about_ca_topic_score_gemma":0.01223152,"domain_scores_codex":[0.9965752,0.001221486,0.0004168372,0.0007691826,0.0007863513,0.0002309687],"domain_scores_gemma":[0.9932336,0.003459189,0.001155506,0.0005014231,0.001354389,0.0002958389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005435633,0.0003892942,0.6510118,0.0005616074,0.0003387444,0.000765142,0.004681327,0.007359531,0.01030265,0.009640774,0.006646132,0.3077594],"study_design_scores_gemma":[0.0004705567,0.0007011698,0.7191812,0.0003232162,0.0004115607,0.004131327,0.009728608,0.1944379,0.0107154,0.02319734,0.036371,0.0003306725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5351139,0.0008387409,0.4480393,0.0005171997,0.0001456564,0.00253255,0.004529864,0.001312301,0.006970617],"genre_scores_gemma":[0.6078133,0.0001652832,0.3874795,0.00008785543,0.00007144523,0.00170609,0.001629035,0.00009923975,0.0009480941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01120554,"threshold_uncertainty_score":0.02228063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09120993156242245,"score_gpt":0.4061953664210045,"score_spread":0.314985434858582,"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."}}