{"id":"W2914007095","doi":"10.2196/10216","title":"A Mobile Web App to Improve Health Screening Uptake in Men (ScreenMen): Utility and Usability Evaluation Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaya","keywords":"Usability; mHealth; Mobile apps; Computer science; World Wide Web; Web application; Medicine; Internet privacy; Psychological intervention; Human–computer interaction; 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":[0.008633086,0.0005688258,0.000946547,0.0009939991,0.0004490911,0.0007860471,0.0003659664,0.0005309226,0.001493464],"category_scores_gemma":[0.0115568,0.0003088538,0.001264038,0.0005091844,0.000325655,0.0007540715,0.0007845886,0.0004104833,0.0002162729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004112034,"about_ca_system_score_gemma":0.0008949144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005037,"about_ca_topic_score_gemma":0.002060961,"domain_scores_codex":[0.9970115,0.001765648,0.0003195275,0.0001680424,0.0005573311,0.0001779317],"domain_scores_gemma":[0.9919904,0.00536171,0.0005351036,0.0002313127,0.001449287,0.0004321845],"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":[0.01679232,0.04933256,0.2296136,0.01497382,0.001815939,0.001764282,0.03632107,0.001660643,0.02211753,0.0006440212,0.006228815,0.6187355],"study_design_scores_gemma":[0.004365838,0.2253491,0.7075374,0.002497756,0.00324457,0.001703258,0.01760098,0.008878043,0.01261873,0.0002646685,0.01568638,0.0002533568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956533,0.0003432332,0.0008696946,0.00007395518,0.00001820524,0.00220724,0.0001593843,0.00005109332,0.0006239962],"genre_scores_gemma":[0.9804066,0.001050012,0.01231913,0.0001799646,0.00003729118,0.004380647,0.0003131746,0.00003078209,0.001282509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008633086,"threshold_uncertainty_score":0.04565668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09325164450221064,"score_gpt":0.4853860641802318,"score_spread":0.3921344196780212,"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."}}