{"id":"W2616919513","doi":"10.1503/cmaj.732980","title":"Beyond implementation research for improving maternal, newborn and child health globally","year":2017,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"Medical Research Council","keywords":"Child survival; Psychological intervention; Low and middle income countries; Child health; Developing country; Child mortality; Maternal health; Medicine; Economic growth; Environmental health; Data science; Pediatrics; Computer science; Nursing; Health services; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03689834,0.001478414,0.001896158,0.001341549,0.007835519,0.009467321,0.005445899,0.06282686,0.03485633],"category_scores_gemma":[0.1126107,0.0008026777,0.002255782,0.001353127,0.01285889,0.02129212,0.01225599,0.07508932,0.009807261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01340358,"about_ca_system_score_gemma":0.063614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01353111,"about_ca_topic_score_gemma":0.02027459,"domain_scores_codex":[0.9603407,0.0184849,0.00286408,0.002520672,0.01060492,0.005184736],"domain_scores_gemma":[0.8476998,0.08492605,0.005391437,0.005735166,0.02251971,0.03372791],"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":[0.0000283421,0.0001160415,0.000476229,0.0005185137,0.00002656959,0.0007272114,0.0007114106,0.00009257715,0.0002600975,0.01856836,0.9406186,0.03785616],"study_design_scores_gemma":[0.0001066047,0.0001921063,0.0008293842,0.003681037,0.00004443736,0.001258797,0.002877776,0.00033442,0.0002288424,0.05719427,0.9331709,0.00008146909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007728472,0.001869825,0.0001807847,0.992245,0.004051008,0.000009302366,0.0000116407,0.0000187293,0.001536567],"genre_scores_gemma":[0.003206578,0.003173846,0.0008691408,0.9787101,0.01174446,0.0000619274,0.00003366222,0.00002732622,0.002173098],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06282686,"threshold_uncertainty_score":0.1951393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484958624241188,"score_gpt":0.3700172889329765,"score_spread":0.3451677026905646,"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."}}