{"id":"W2906909602","doi":"10.9745/ghsp-d-18-00256","title":"Revisiting the Facility-Based Delivery Rate Formula in the Philippines for Better Local Health Governance and Services","year":2018,"lang":"en","type":"article","venue":"Global Health Science and Practice","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Residence; Measure (data warehouse); Catchment area; Corporate governance; Health services; Population; Health facility; Place of birth; Geography; Local governance; Business; Environmental health; Demography; Medicine; Computer science; Cartography; Sociology; Finance; Drainage basin","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":[0.01692293,0.0006991996,0.0006089505,0.003024489,0.0004220941,0.002047193,0.002188527,0.000514365,0.005446738],"category_scores_gemma":[0.05595325,0.0005317676,0.0009703463,0.006637732,0.0004317091,0.002391328,0.001608639,0.002710656,0.001513684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003557928,"about_ca_system_score_gemma":0.006461451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1457008,"about_ca_topic_score_gemma":0.1246289,"domain_scores_codex":[0.9892881,0.007548057,0.0009914838,0.0004731124,0.001334222,0.000365108],"domain_scores_gemma":[0.9834037,0.005342111,0.003086703,0.001471979,0.006211927,0.0004835497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002351278,0.0002758234,0.2970068,0.001759293,0.0006179051,0.0006809828,0.0034904,0.01969713,0.0007419593,0.02723009,0.1476944,0.5005702],"study_design_scores_gemma":[0.0003076429,0.0007431278,0.4962478,0.005392202,0.0007063831,0.001504403,0.004123854,0.1417347,0.00429819,0.01664739,0.3279248,0.0003695385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3523999,0.02661207,0.4382212,0.0946383,0.006300672,0.002189214,0.02612794,0.006030073,0.04748056],"genre_scores_gemma":[0.6908367,0.00859528,0.27063,0.006178626,0.001043534,0.002034058,0.008102295,0.001395425,0.01118407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1457008,"threshold_uncertainty_score":0.2897053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736437917421086,"score_gpt":0.3782387987448958,"score_spread":0.3508744195706849,"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."}}