{"id":"W1932095273","doi":"10.1186/s12978-015-0044-5","title":"Critical maternal health knowledge gaps in low- and middle-income countries for the post-2015 era","year":2015,"lang":"en","type":"article","venue":"Reproductive Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Pierre Elliott Trudeau Foundation; Bill and Melinda Gates Foundation","keywords":"Medicine; Childbirth; Psychological intervention; Maternal death; Reproductive health; Health care; Health policy; Nursing; Global health; Quality (philosophy); Public health; Environmental health; Population; Pregnancy; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.002372249,0.0002074925,0.0005746475,0.0001023771,0.0002410755,0.00003500219,0.0001060052,0.00006516598,0.00001825156],"category_scores_gemma":[0.000650665,0.0001378347,0.00004902816,0.0001681095,0.0002281715,0.0001198564,0.00007484954,0.0003465616,0.00008260855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006156896,"about_ca_system_score_gemma":0.001820805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00344143,"about_ca_topic_score_gemma":0.0003760618,"domain_scores_codex":[0.9975924,0.0001986268,0.0005757484,0.0006188859,0.0002937304,0.0007205994],"domain_scores_gemma":[0.9979964,0.00018614,0.0001383329,0.0004572321,0.0005743869,0.0006475303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01412578,0.002477635,0.7233822,0.05472756,0.0002664156,0.00009940405,0.04100332,0.00002785465,0.00003049922,0.1048987,0.04357432,0.01538633],"study_design_scores_gemma":[0.003102729,0.003058247,0.9487255,0.00287848,0.00002050146,0.0006738562,0.0014039,0.00009871289,0.00009090845,0.002924777,0.03680602,0.0002164165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.645224,0.03474351,0.00008793276,0.3163465,0.001049966,0.001917317,0.0001139167,0.00005684533,0.0004599833],"genre_scores_gemma":[0.9850237,0.001429177,0.0008201721,0.01059994,0.00125102,0.00007046569,0.00001312103,0.00003271398,0.0007596965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3397996,"threshold_uncertainty_score":0.5620738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534878382690315,"score_gpt":0.3742457537351473,"score_spread":0.3388969699082442,"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."}}