{"id":"W6920382020","doi":"10.60692/2h4ff-1vg26","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":"Greater South Information System","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Global Affairs Canada","funders":"","keywords":"Mobile phone; Phone; Rural area; Government (linguistics); Pregnancy; Mobile technology; Rural health; Health facility","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":[0.0005560981,0.0003515096,0.0001529638,0.0003337958,0.00039152,0.0003966786,0.0003458037,0.0004276115,0.005260683],"category_scores_gemma":[0.002250874,0.0001353281,0.0001666073,0.0001748738,0.0002055365,0.0006800483,0.0006495728,0.0003026082,0.0007745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564358,"about_ca_system_score_gemma":0.0004260115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007187795,"about_ca_topic_score_gemma":0.001368586,"domain_scores_codex":[0.9997432,0.0001404597,0.00002532026,0.00002200576,0.00003434903,0.00003482742],"domain_scores_gemma":[0.9993255,0.0003569774,0.0001077923,0.00002774275,0.00005971536,0.0001223336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001203894,0.002909291,0.05383104,0.00168179,0.00002842519,0.003568914,0.0139522,0.0005688328,0.03974159,0.0005779791,0.01526811,0.8666679],"study_design_scores_gemma":[0.001731127,0.0346886,0.4412532,0.005218698,0.0006850755,0.02448606,0.07209807,0.01771123,0.07229675,0.002723464,0.3265652,0.0005425598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527246,0.002234089,0.0181297,0.002751179,0.0002555894,0.00335777,0.0007319258,0.002858427,0.01695678],"genre_scores_gemma":[0.9101961,0.00343046,0.06951743,0.001316659,0.0001028903,0.001930662,0.0005414358,0.0001294688,0.01283501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005260683,"threshold_uncertainty_score":0.01759869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747921575788347,"score_gpt":0.2156611792679171,"score_spread":0.1981819635100336,"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."}}