{"id":"W3215505391","doi":"10.9745/ghsp-d-21-00220","title":"Using Human-Centered Design to Develop, Launch, and Evaluate a National Digital Health Platform to Improve Reproductive Health for Rwandan Youth","year":2021,"lang":"en","type":"article","venue":"Global Health Science and Practice","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"Rwanda Biomedical Centre; University of Rwanda; United States Agency for International Development; David and Lucile Packard Foundation","keywords":"Reproductive health; Digital health; Product (mathematics); Process (computing); mHealth; Intervention (counseling); Health intervention; Program evaluation","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":[0.01889101,0.001258931,0.0004597422,0.00103884,0.0012225,0.003217499,0.001883449,0.0009778165,0.006606356],"category_scores_gemma":[0.01522676,0.0004624609,0.001157452,0.0003567816,0.002075186,0.001054401,0.002938829,0.001302549,0.0006526915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229598,"about_ca_system_score_gemma":0.00538264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762251,"about_ca_topic_score_gemma":0.003494242,"domain_scores_codex":[0.9885448,0.008843135,0.00029264,0.0006455918,0.001163116,0.0005108281],"domain_scores_gemma":[0.9906308,0.006151039,0.0005005015,0.0007434731,0.001553472,0.0004207419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00243545,0.01341084,0.02980049,0.007822927,0.0006949132,0.001039825,0.03938645,0.08286653,0.03582614,0.05816103,0.01241926,0.7161362],"study_design_scores_gemma":[0.01156559,0.08000048,0.04399646,0.007054567,0.002592409,0.0009645188,0.06426268,0.247459,0.08767632,0.09882086,0.3549289,0.0006781947],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3385687,0.001321124,0.5707548,0.001767355,0.0005310238,0.04137498,0.0006828756,0.00152881,0.04347043],"genre_scores_gemma":[0.3688485,0.0005608978,0.5981296,0.0007143196,0.00003779352,0.02572169,0.0002882275,0.0001479513,0.005551067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01889101,"threshold_uncertainty_score":0.09990638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3342336945417416,"score_gpt":0.5714380325024063,"score_spread":0.2372043379606648,"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."}}