{"id":"W2892290008","doi":"10.2196/11450","title":"A Mobile Health Intervention for HIV Prevention Among Racially and Ethnically Diverse Young Men: Usability Evaluation","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities","keywords":"Ethnically diverse; Usability; Human immunodeficiency virus (HIV); Intervention (counseling); mHealth; Medicine; Psychology; Gerontology; Psychological intervention; Computer science; Environmental health; Family medicine; Population; Nursing","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":[0.006504661,0.0006805024,0.000745475,0.0008375639,0.0007551915,0.0005807094,0.0007559219,0.0008202951,0.002651159],"category_scores_gemma":[0.007686818,0.0003921511,0.000937007,0.0003034634,0.0004132856,0.0005317744,0.0009804295,0.0004739591,0.0002037791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004414296,"about_ca_system_score_gemma":0.001676726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309664,"about_ca_topic_score_gemma":0.002961416,"domain_scores_codex":[0.9973477,0.001623399,0.000284511,0.0001664737,0.000343376,0.0002345163],"domain_scores_gemma":[0.9965688,0.002234745,0.0002015887,0.0001158713,0.0005589733,0.0003200063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0217503,0.1459752,0.05686767,0.01369551,0.0008613003,0.001577379,0.02600057,0.002134801,0.02030025,0.0005396875,0.003701844,0.7065954],"study_design_scores_gemma":[0.02173321,0.6447269,0.2722922,0.003301322,0.002284037,0.0009622796,0.01901745,0.007258564,0.01394854,0.0004541503,0.01380067,0.0002206767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847451,0.0003987646,0.001432653,0.0001310256,0.00003197182,0.01188005,0.0001491168,0.00005467691,0.001176764],"genre_scores_gemma":[0.9430974,0.001503927,0.0280505,0.0003358002,0.00006133188,0.02524202,0.000302309,0.00002572621,0.001380921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006504661,"threshold_uncertainty_score":0.03440034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173385567363412,"score_gpt":0.5237482913773852,"score_spread":0.406409734641044,"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."}}