{"id":"W2112037351","doi":"10.1016/j.ijgo.2015.02.008","title":"Moving beyond silos: How do we provide distributed personalized medicine to pregnant women everywhere at scale? Insights from PRE‐EMPT","year":2015,"lang":"en","type":"article","venue":"International Journal of Gynecology & Obstetrics","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Hospital for Sick Children; SickKids Foundation; University of Toronto; Centre for Global Health Research; Child and Family Research Institute","funders":"Child and Family Research Institute; Bill and Melinda Gates Foundation","keywords":"Medicine; mHealth; Psychological intervention; Scale (ratio); Eclampsia; Health care; Pregnancy; Personalized medicine; Medical emergency; Nursing; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.02242141,0.0005609794,0.0008792547,0.0009471285,0.002362887,0.0103712,0.002595407,0.002813033,0.008491789],"category_scores_gemma":[0.05375629,0.0005236284,0.001100055,0.001354535,0.00358962,0.01470625,0.007552586,0.004848556,0.001456792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003552453,"about_ca_system_score_gemma":0.01125865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005702094,"about_ca_topic_score_gemma":0.008398272,"domain_scores_codex":[0.9873033,0.01007748,0.0003560876,0.0005389387,0.000850708,0.0008734788],"domain_scores_gemma":[0.9721528,0.01748622,0.001621466,0.002565306,0.001602311,0.004572069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001019373,0.00153625,0.04449106,0.004565252,0.0009192458,0.0007556276,0.03057442,0.004028659,0.0007937835,0.1575524,0.07860059,0.6751634],"study_design_scores_gemma":[0.001236463,0.00279735,0.05103852,0.01253376,0.001411363,0.000832734,0.07306335,0.008961232,0.001647361,0.4246722,0.4215735,0.0002321787],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06723662,0.02686307,0.02730524,0.8213682,0.002919863,0.0005242547,0.0005251985,0.0003605777,0.05289694],"genre_scores_gemma":[0.8395398,0.0262233,0.04923961,0.07635302,0.002834037,0.0008817456,0.000321187,0.0002529006,0.004354397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242141,"threshold_uncertainty_score":0.1185771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453646095285538,"score_gpt":0.2819018641671761,"score_spread":0.2573654032143207,"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."}}