{"id":"W2326620910","doi":"10.12927/whp..17531","title":"Technology for Public Health Development","year":2013,"lang":"en","type":"article","venue":"World health & population","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Political science; Health care; Health policy; Healthcare policy; Nursing research; Unit (ring theory); Administration (probate law); Peer review; Nursing; International health; Library science; Medicine; Public relations; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.006820485,0.0008196348,0.0007733153,0.002221249,0.001033075,0.006295049,0.001110228,0.002429497,0.1339475],"category_scores_gemma":[0.01550927,0.0003395676,0.000701761,0.002467509,0.002333587,0.006506609,0.006030031,0.004320419,0.07070154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003394813,"about_ca_system_score_gemma":0.009034344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772986,"about_ca_topic_score_gemma":0.001415331,"domain_scores_codex":[0.9954217,0.002052107,0.0002852829,0.0004686082,0.001423731,0.0003485678],"domain_scores_gemma":[0.992912,0.002092477,0.000414157,0.002057083,0.001675532,0.0008487638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002850663,0.00005037992,0.0004303624,0.00061939,0.00002405867,0.00006567298,0.0002535207,0.000171145,0.0003412889,0.2161335,0.4676646,0.3142175],"study_design_scores_gemma":[0.00001013231,0.00002408236,0.000414792,0.0005628359,0.000008056802,0.0001032416,0.0001374981,0.00008288493,0.0001534493,0.04207133,0.9564248,0.000006951826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009072019,0.05019037,0.02079677,0.1135283,0.01500909,0.0005242192,0.002316416,0.001404621,0.7953229],"genre_scores_gemma":[0.08495684,0.1230205,0.06912749,0.04714506,0.01040456,0.002086872,0.004339581,0.0007526656,0.6581665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1339475,"threshold_uncertainty_score":0.4480989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689783685004002,"score_gpt":0.3413592839193406,"score_spread":0.2944614470693006,"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."}}