{"id":"W3163266370","doi":"10.1186/s12978-020-01037-z","title":"Utilization of a mobile phone application to increase access to sexual and reproductive health information, goods, and services among university students in Uganda","year":2021,"lang":"en","type":"article","venue":"Reproductive Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Reproductive medicine; Reproductive health; Public health; Mobile phone; Phone; Environmental health; Business; Goods and services; Health informatics; Medicine; Internet privacy; Population; Telecommunications; Nursing; Engineering; Computer science; Biology; Pregnancy; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002969821,0.0002267618,0.000651342,0.0004587079,0.0008429653,0.00002308824,0.0002481288,0.0001304483,0.0000270309],"category_scores_gemma":[0.000375344,0.0002557645,0.00001789416,0.001988487,0.00007916105,0.0007793389,0.0005375767,0.0004157747,0.00003955172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000739275,"about_ca_system_score_gemma":0.002144049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0279664,"about_ca_topic_score_gemma":0.01054544,"domain_scores_codex":[0.9955701,0.0009803302,0.001225714,0.001164846,0.0003925702,0.000666493],"domain_scores_gemma":[0.9962143,0.0001700879,0.0008911042,0.001001798,0.0008010928,0.0009216556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006152118,0.0005538194,0.8231172,0.006766118,0.00002873575,0.000001056355,0.04557006,0.0002568696,0.0001023314,0.001246189,0.004798756,0.1169437],"study_design_scores_gemma":[0.001291499,0.0003345789,0.9057915,0.0003115718,0.000009541949,0.000004388581,0.0271538,0.00006920101,0.00009341303,0.000139915,0.06460181,0.0001987908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726278,0.0009836442,0.00299778,0.01182147,0.0001758718,0.01083475,0.0002239923,0.00007228767,0.0002623723],"genre_scores_gemma":[0.9862534,0.002508609,0.001697932,0.006311666,0.0002208189,0.002279838,0.0003556609,0.00003085471,0.0003412226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1167449,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480488431937925,"score_gpt":0.421102780063579,"score_spread":0.3862978957441998,"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."}}