{"id":"W4405336108","doi":"10.2196/66132","title":"Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; University of Washington","keywords":"Preprint; Formative assessment; mHealth; Index (typography); Human immunodeficiency virus (HIV); Psychology; Engineering; Computer science; Medicine; Virology; World Wide Web; Psychological intervention","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05466381,0.00115977,0.0006948453,0.002148567,0.004675241,0.004684807,0.003556333,0.002294837,0.003196452],"category_scores_gemma":[0.04376736,0.0007196242,0.001197009,0.001176011,0.004844933,0.003032744,0.004290332,0.00192592,0.0006046071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005678417,"about_ca_system_score_gemma":0.007847112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504042,"about_ca_topic_score_gemma":0.003677109,"domain_scores_codex":[0.949294,0.04243886,0.001645866,0.00188587,0.002960584,0.001774867],"domain_scores_gemma":[0.9565929,0.03080651,0.001654936,0.003401913,0.006151673,0.001391974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001020446,0.0107579,0.02119994,0.004657348,0.0001904976,0.006021337,0.6688755,0.005506299,0.0122068,0.01691865,0.005627351,0.2470179],"study_design_scores_gemma":[0.001588649,0.0254136,0.02868601,0.004933664,0.000490978,0.004569334,0.7112741,0.01838865,0.04053258,0.01432922,0.1493644,0.0004289281],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807752,0.001111123,0.1427417,0.002480051,0.0002542331,0.02578867,0.000446495,0.0002720421,0.01915368],"genre_scores_gemma":[0.7362872,0.000871599,0.2422309,0.0008012496,0.00006695926,0.01344271,0.0002315501,0.00008818777,0.005979582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05466381,"threshold_uncertainty_score":0.2890933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4279268372089186,"score_gpt":0.6182239199510328,"score_spread":0.1902970827421142,"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."}}