{"id":"W4386964525","doi":"10.2196/50304","title":"Creating an Intercultural User-Centric Design for a Digital Sexual Health Education App for Young Women in Resource-Poor Regions of Kenya: Qualitative Self-Extended Double Diamond Model for Requirements Engineering Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reproductive health; Qualitative research; Curriculum; Qualitative property; Medical education; Psychology; Engineering; Knowledge management; Medicine; Pedagogy; Sociology; Computer science; Population; Social science; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009427045,0.0002470502,0.0007033951,0.001736508,0.00153372,0.00004948616,0.0003714291,0.0001965678,0.000006242032],"category_scores_gemma":[0.0009189542,0.0002299531,0.0001339187,0.003138905,0.00006523728,0.0008183268,0.0001260902,0.000533891,0.000007479382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002287577,"about_ca_system_score_gemma":0.002750482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002299699,"about_ca_topic_score_gemma":0.0002392285,"domain_scores_codex":[0.9945444,0.0006972998,0.001566951,0.0005615246,0.0005327103,0.002097075],"domain_scores_gemma":[0.9931479,0.003848461,0.0006216111,0.0004248961,0.001263769,0.0006933867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003038892,0.001732719,0.0007101145,0.01107188,0.0003995677,1.635162e-7,0.8852592,0.007495305,0.0001293923,0.02075208,0.05772457,0.01168611],"study_design_scores_gemma":[0.003918219,0.001340203,0.001058838,0.0002890399,0.00003092584,3.170549e-7,0.2894154,0.6939506,0.00002325233,0.002874803,0.006858267,0.0002401142],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5649576,0.0001377641,0.3764323,0.002765929,0.0001644362,0.05275989,0.001975399,0.000403931,0.0004028275],"genre_scores_gemma":[0.8030945,0.00005208406,0.01001056,0.000128379,0.00013919,0.1827247,0.001782728,0.00006522083,0.002002697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6864553,"threshold_uncertainty_score":0.9997662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2128983104184463,"score_gpt":0.5428774574193875,"score_spread":0.3299791470009412,"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."}}