{"id":"W4323532788","doi":"10.1186/s12884-023-05424-9","title":"Texting for life: a mobile phone application to connect pregnant women with emergency transport and obstetric care in rural Nigeria","year":2023,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Global Affairs Canada","funders":"Global Affairs Canada; Bundesministerium für Gesundheit; International Development Research Centre","keywords":"Medicine; Mobile phone; Phone; Medical emergency; Health facility; Rural area; Pregnancy; Reproductive medicine; Government (linguistics); Nursing; Environmental health; Population; Telecommunications","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":[0.0006431586,0.0003333569,0.0001381364,0.0003221173,0.0003979241,0.0004100825,0.0003624429,0.0004155635,0.005884577],"category_scores_gemma":[0.002212653,0.0001331555,0.0001609164,0.0001616068,0.0002284483,0.0006815328,0.0006655707,0.0003044609,0.0007762919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774794,"about_ca_system_score_gemma":0.0004972452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007674653,"about_ca_topic_score_gemma":0.001441203,"domain_scores_codex":[0.9997231,0.0001534931,0.00002702285,0.00002342644,0.00003598089,0.00003691025],"domain_scores_gemma":[0.9993138,0.000341666,0.0001204908,0.00003061259,0.0000605975,0.000132872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001400126,0.003270173,0.06866015,0.001918425,0.00003090436,0.003193267,0.01473832,0.0006070263,0.03377026,0.0005622045,0.01519212,0.856657],"study_design_scores_gemma":[0.002095013,0.03779711,0.477773,0.00572235,0.0006911799,0.01980348,0.06961371,0.01661605,0.06283786,0.002623649,0.303959,0.0004676815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590089,0.001854404,0.01385361,0.0028154,0.0002152629,0.003167474,0.0007251971,0.002306879,0.01605283],"genre_scores_gemma":[0.930425,0.002863718,0.05275891,0.001073488,0.0000932059,0.00194574,0.000473915,0.0001005241,0.01026549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005884577,"threshold_uncertainty_score":0.01968592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821390424859717,"score_gpt":0.3368318612957544,"score_spread":0.3186179570471572,"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."}}