{"id":"W3124208453","doi":"10.1186/s12978-020-01059-7","title":"Using mobile phones to improve young people sexual and reproductive health in low and middle-income countries: a systematic review to identify barriers, facilitators, and range of mHealth solutions","year":2021,"lang":"en","type":"review","venue":"Reproductive Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health","funders":"","keywords":"mHealth; CINAHL; Psychological intervention; Reproductive medicine; Reproductive health; Medicine; Incentive; Grey literature; Nursing; MEDLINE; Environmental health; Population; Political science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01710688,0.001129639,0.009645368,0.00109631,0.002218572,0.00003836687,0.0003743176,0.0005245848,0.00004728096],"category_scores_gemma":[0.005768884,0.001059045,0.0001981918,0.002987452,0.0002798506,0.0002955007,0.000784277,0.001851709,0.00005239843],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003267552,"about_ca_system_score_gemma":0.01505221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168202,"about_ca_topic_score_gemma":0.004200782,"domain_scores_codex":[0.9789565,0.006919222,0.006745332,0.004168329,0.0007254016,0.002485184],"domain_scores_gemma":[0.9873348,0.001449211,0.004094467,0.003032213,0.001098142,0.002991131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003849881,0.00007076329,0.0007066046,0.9809961,0.00009979265,0.000001713927,0.008624149,0.000001715107,3.349331e-7,0.0003595777,0.0008992654,0.008201522],"study_design_scores_gemma":[0.0008563575,0.0009694561,0.001372058,0.9108853,0.0006263591,0.0001984645,0.008037264,0.0000105281,1.958729e-7,0.00005926433,0.07600386,0.0009808962],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001207282,0.9234393,0.0002836894,0.005981573,0.0009751621,0.065483,0.002529548,0.00008717809,0.0000132979],"genre_scores_gemma":[0.0001973557,0.9627489,0.001578629,0.002439285,0.0004649026,0.03198712,0.0001198739,0.0001656911,0.000298245],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0751046,"threshold_uncertainty_score":0.999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08771721373062971,"score_gpt":0.4700241728212581,"score_spread":0.3823069590906284,"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."}}