{"id":"W3046354029","doi":"10.1136/bmjgh-2020-003430","title":"Learning from Exemplars in Global Health: a road map for mitigating indirect effects of COVID-19 on maternal and child health","year":2020,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; SickKids Foundation; Hospital for Sick Children","funders":"Bill and Melinda Gates Foundation; Gates Ventures","keywords":"Pandemic; Psychological intervention; Health care; Medicine; Global health; Business; Health policy; Surge Capacity; Environmental health; Disease; Public health; Economic growth; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Nursing; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009137281,0.000383892,0.00141441,0.00006388074,0.000394765,0.00002767608,0.0001691055,0.0001472114,0.00001157998],"category_scores_gemma":[0.0004991284,0.0003576805,0.0001353484,0.0004029657,0.0000761441,0.00006384867,0.0001051296,0.0004534135,0.00001258631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434896,"about_ca_system_score_gemma":0.002663168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03852027,"about_ca_topic_score_gemma":0.001716086,"domain_scores_codex":[0.995774,0.000534592,0.001246908,0.0007493144,0.0005854989,0.00110964],"domain_scores_gemma":[0.9964751,0.0001540571,0.0008333865,0.0002215877,0.00004870442,0.00226716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00485045,0.000445368,0.7980993,0.02832401,0.000146,0.0001670546,0.003883229,0.0003375424,0.000008627092,0.002392022,0.01111237,0.1502341],"study_design_scores_gemma":[0.01168329,0.01159565,0.9582935,0.007435115,0.00002690638,0.0002414434,0.0006221013,0.001268261,0.00005347069,0.001624693,0.006779136,0.0003764256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8088179,0.006202871,0.0003866979,0.1798861,0.0003516602,0.003395628,0.0006661108,0.0001429239,0.0001501002],"genre_scores_gemma":[0.8925645,0.000857009,0.002126667,0.1038265,0.0004007793,0.00005389977,0.0001371003,0.00002609906,0.000007493141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601942,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476529859246154,"score_gpt":0.3737075010978686,"score_spread":0.3489422025054071,"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."}}