{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01187231,0.0003984908,0.0008121311,0.0002791404,0.003952334,0.00003337083,0.0002099179,0.0004863292,0.0002941298],"category_scores_gemma":[0.0006197194,0.0003886013,0.0001276448,0.0004502049,0.0004737168,0.0003963113,0.0001704483,0.0008432691,0.00007376089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009846939,"about_ca_system_score_gemma":0.003304796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606539,"about_ca_topic_score_gemma":0.005099824,"domain_scores_codex":[0.9919441,0.002252137,0.002317037,0.001194123,0.0006016937,0.001690912],"domain_scores_gemma":[0.9943545,0.0005956739,0.001524121,0.0006850491,0.000973068,0.001867624],"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":[0.001629067,0.0008570557,0.1194876,0.01385778,0.0000341593,2.682104e-7,0.01260139,0.000002732863,0.00001390566,0.009614136,0.05725335,0.7846485],"study_design_scores_gemma":[0.01548683,0.00962917,0.8016652,0.001261919,0.0002697892,0.00001220815,0.01155486,0.01505937,0.000005028288,0.01553574,0.1287768,0.0007430601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907314,0.004181473,0.01624049,0.00798268,0.001475722,0.05766723,0.0003767421,0.0004649861,0.004296693],"genre_scores_gemma":[0.9363513,0.003358194,0.002873366,0.003190524,0.001251369,0.05141779,0.0004617491,0.00006560575,0.001030071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7839054,"threshold_uncertainty_score":0.9998566,"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."}}