{"id":"W2597300264","doi":"10.1093/heapol/czx021","title":"Expenditure tracking and review of reproductive maternal, newborn and child health policy in Pakistan","year":2017,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"London School of Hygiene and Tropical Medicine","keywords":"Public health; Child mortality; Medicine; Millennium Development Goals; Environmental health; Infant mortality; Developing country; Child health; Economic growth; Demography; Population; Pediatrics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008303818,0.000171606,0.0006690837,0.0001709628,0.0004456302,0.00003340688,0.00006889151,0.00006561186,0.000004206078],"category_scores_gemma":[0.0002265647,0.0001412899,0.00002346174,0.0000780105,0.000108626,0.0001222869,0.00007231586,0.0003089852,6.088619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009883471,"about_ca_system_score_gemma":0.0003841186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05292585,"about_ca_topic_score_gemma":0.0002157584,"domain_scores_codex":[0.998395,0.0001029784,0.0005342037,0.0003528116,0.0001540909,0.0004608745],"domain_scores_gemma":[0.998706,0.00003446124,0.0005014726,0.0003196656,0.00003050943,0.0004079244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005042774,0.0001126117,0.7198783,0.09183725,0.00005192827,0.0001077374,0.01437304,0.000001209432,0.00002041815,0.01280627,0.003106151,0.1572008],"study_design_scores_gemma":[0.0009429255,0.000318354,0.929858,0.03686439,0.00000723122,0.0006069188,0.0003087644,0.000004589779,0.00001602659,0.0005641247,0.03040839,0.0001002728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5893471,0.162387,0.000006144141,0.2442814,0.0000894795,0.0007870921,0.00008918552,0.00002554028,0.002987186],"genre_scores_gemma":[0.840157,0.1238081,0.0002889566,0.03472838,0.0009135535,0.000005474698,0.0000115782,0.00001543222,0.00007155897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508099,"threshold_uncertainty_score":0.9533808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674586083217474,"score_gpt":0.4428454960831867,"score_spread":0.3960996352510119,"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."}}