{"id":"W2956050857","doi":"10.7189/jogh.09.010315","title":"A multi-institutional approach to data-driven decision-making: National Evaluation Platform in Mali","year":2019,"lang":"en","type":"review","venue":"Journal of Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Johns Hopkins Bloomberg School of Public Health; Global Affairs Canada","keywords":"Data science; Computer science; MEDLINE; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003625401,0.000399532,0.002376267,0.0003861856,0.00009881641,0.0000394401,0.0006934282,0.0002867557,0.00004677683],"category_scores_gemma":[0.0007852435,0.0002677832,0.0003538928,0.0007637769,0.00003359295,0.0002660801,0.0002318773,0.0007723683,0.0001468829],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009703508,"about_ca_system_score_gemma":0.02175982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001093524,"about_ca_topic_score_gemma":0.0001053973,"domain_scores_codex":[0.9941019,0.0002001172,0.002238721,0.0004885315,0.002478947,0.0004917653],"domain_scores_gemma":[0.9965934,0.000135755,0.001455671,0.0004371212,0.000827748,0.0005503562],"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":[0.0002939859,0.0008525809,0.000487058,0.01009755,0.0001624917,0.00004738129,0.00003541869,0.0005429858,9.941266e-9,0.001189944,0.01315825,0.9731324],"study_design_scores_gemma":[0.002791923,0.0006450293,0.01354802,0.05988583,0.0004523601,0.006734358,0.00003003422,0.00485121,1.967973e-9,0.0005022713,0.9102699,0.0002891399],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002611872,0.9904452,0.001821579,0.0004985972,0.001329051,0.002370912,0.0009180279,0.00001199301,0.002343427],"genre_scores_gemma":[0.002617142,0.9390863,0.05434868,0.002503938,0.0009881151,0.0000142009,0.0003982945,0.00002526537,0.00001805858],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9728432,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2391074130764921,"score_gpt":0.5115371983212516,"score_spread":0.2724297852447595,"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."}}