{"id":"W2521347721","doi":"10.1016/s2214-109x(16)30183-8","title":"Asking different questions: research priorities to improve the quality of care for every woman, every child","year":2016,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Direktoratet for Utviklingssamarbeid; World Health Organization; Bill and Melinda Gates Foundation","keywords":"Scopus; Medicine; Health care; Family medicine; Maternity care; Pediatrics; MEDLINE; Nursing; Obstetrics; Political science","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":[0.00195967,0.0001498773,0.0005778041,0.00003046924,0.0005057239,0.00001800495,0.0003569587,0.00006088509,0.000008346065],"category_scores_gemma":[0.0003929506,0.00006249559,0.0001072764,0.0001880227,0.0001580228,0.00004102331,0.0001571561,0.0002286157,0.00001576964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000830466,"about_ca_system_score_gemma":0.0004489411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003821802,"about_ca_topic_score_gemma":0.001687886,"domain_scores_codex":[0.9974045,0.0004531402,0.0004823148,0.0002727418,0.0006161834,0.0007710805],"domain_scores_gemma":[0.9981803,0.0004122473,0.0001526364,0.0006753716,0.0003553646,0.0002240599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01284071,0.0005849293,0.3148878,0.01173675,0.0002994514,0.000006112939,0.006889602,0.000006035254,0.000639383,0.3815881,0.07831614,0.1922049],"study_design_scores_gemma":[0.001449818,0.001206014,0.9623786,0.00176166,0.00001530827,0.00001594403,0.001299632,0.000001942479,0.0001474264,0.0105063,0.02112319,0.00009421953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8047467,0.003922631,0.0001983379,0.1862147,0.0004410473,0.002069026,0.0007765244,0.00005948436,0.001571561],"genre_scores_gemma":[0.9855714,0.001116855,0.0001494466,0.0116292,0.001184021,0.00009761265,0.000006487012,0.00001110149,0.0002339122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6474907,"threshold_uncertainty_score":0.5777447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0803958420818613,"score_gpt":0.4605740883102249,"score_spread":0.3801782462283636,"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."}}