{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003177999,0.0001447758,0.00019921,0.0005444516,0.0001656073,0.0001005107,0.0003714462,0.00005166712,0.000001260789],"category_scores_gemma":[0.00001915706,0.0001226762,0.00001838449,0.001147313,0.00001061234,0.0007014487,0.00009040332,0.00005598817,0.00006708893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605682,"about_ca_system_score_gemma":0.00006675145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001349202,"about_ca_topic_score_gemma":0.000002949799,"domain_scores_codex":[0.9988403,0.00003431359,0.0004895824,0.0001286717,0.0002006328,0.0003065204],"domain_scores_gemma":[0.9991657,0.00002322457,0.0001573708,0.00038602,0.0001853822,0.00008234994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005416888,0.000001332331,0.07337245,0.001008795,0.00001602157,8.914269e-7,0.9185762,0.00115688,0.000004579173,0.0001559654,0.00001441983,0.005638312],"study_design_scores_gemma":[0.00257723,0.0006021394,0.339649,0.001101448,0.000009606635,0.00002725072,0.610454,0.04362223,0.0003633835,0.00001081084,0.000700544,0.0008823858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557748,0.00001281499,0.1423088,0.00002311885,0.0001975574,0.001193654,0.00002993237,0.0003218375,0.0001374415],"genre_scores_gemma":[0.9958059,8.63275e-7,0.001622916,0.00003587361,0.00001683703,0.002446624,0.00002326654,0.000009429354,0.00003829676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3081222,"threshold_uncertainty_score":0.5002592,"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."}}