{"id":"W2803943008","doi":"10.1159/000488310","title":"Opportunities and Challenges in Global Perinatal Research","year":2018,"lang":"en","type":"review","venue":"Neonatology","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Prioritization; Global health; Medicine; Low and middle income countries; Environmental health; Perinatal mortality; Action plan; Global challenges; Developing country; Economic growth; Political science; Business; Pregnancy; Public health; Nursing; Geography; Environmental planning; Biology; 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":[0.0004961441,0.0002013109,0.001234702,0.0001851541,0.00005434365,0.000007068822,0.0001345624,0.0004469015,0.00008137071],"category_scores_gemma":[0.00006891671,0.0001503047,0.00007640669,0.0001191988,0.000379226,0.00001977774,0.0002225148,0.0004953356,0.0001056531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001556859,"about_ca_system_score_gemma":0.0004542887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001808888,"about_ca_topic_score_gemma":0.000180226,"domain_scores_codex":[0.9982497,0.0003028342,0.0003314176,0.000387416,0.00020794,0.0005207087],"domain_scores_gemma":[0.9993339,0.00009978322,0.0000592445,0.000233566,0.00008824022,0.0001853028],"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":[0.00002521092,0.00002692676,0.0001390987,0.02907675,0.00002784413,0.001029726,0.00003827971,2.072216e-10,1.064183e-9,0.04557758,0.000462908,0.9235957],"study_design_scores_gemma":[0.0002558932,0.0003159694,0.0004396419,0.006293053,0.00004697734,0.008564356,0.0001474581,1.970599e-7,1.198509e-8,0.001154377,0.9826841,0.00009793878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00045625,0.9705575,3.977621e-8,0.00341852,0.000192623,0.0003643807,0.0000344835,0.00002118205,0.024955],"genre_scores_gemma":[0.0001293955,0.9991155,0.00003131831,0.0001392329,0.0002099143,0.00003496895,0.00001933356,0.00001446112,0.0003058768],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9822212,"threshold_uncertainty_score":0.6129246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4235136154410801,"score_gpt":0.4739608104507833,"score_spread":0.05044719500970318,"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."}}