{"id":"W4288422748","doi":"10.3389/fpubh.2022.931401","title":"Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Royal Society; Fonds Wetenschappelijk Onderzoek; Wellcome Trust; Google; Vlaamse regering; Bill and Melinda Gates Foundation","keywords":"Urbanization; Context (archaeology); Psychological intervention; Childbirth; Population; Medicine; Developing country; Business; Environmental health; Economic growth; Pregnancy; Geography; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01084175,0.001666926,0.0009835286,0.0037406,0.000923948,0.004502967,0.002989231,0.001968535,0.001869964],"category_scores_gemma":[0.05827928,0.0007096822,0.001443757,0.006254051,0.0008118323,0.004462688,0.004258174,0.002738968,0.000773151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254841,"about_ca_system_score_gemma":0.002266761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03324578,"about_ca_topic_score_gemma":0.0469598,"domain_scores_codex":[0.9908817,0.006799064,0.0006011496,0.0007722139,0.00064206,0.0003037596],"domain_scores_gemma":[0.9620995,0.02476333,0.004286837,0.004048226,0.003854276,0.0009478497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005142965,0.000609112,0.589369,0.003348931,0.002159158,0.0007054484,0.002762066,0.184115,0.0008354876,0.02868712,0.04485537,0.1420391],"study_design_scores_gemma":[0.0001135944,0.000295906,0.1458226,0.003460367,0.0005689631,0.00033296,0.009008337,0.731271,0.001640231,0.05394715,0.0532237,0.0003151566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4177627,0.01373975,0.3806107,0.05181422,0.002974226,0.00172298,0.1037592,0.002235438,0.02538079],"genre_scores_gemma":[0.7476431,0.00393681,0.2039152,0.003222202,0.0008878569,0.001346507,0.03756284,0.0002214082,0.001263972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03324578,"threshold_uncertainty_score":0.06610453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310332268368529,"score_gpt":0.2937831628989481,"score_spread":0.2506798402152629,"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."}}