{"id":"W2976264104","doi":"10.2196/13495","title":"“Positive Peers”: Function and Content Development of a Mobile App for Engaging and Retaining Young Adults in HIV Care","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Resources and Services Administration; National Institute of Mental Health; U.S. Department of Health and Human Services","keywords":"Population; mHealth; Formative assessment; Mobile apps; Medicine; Psychology; Internet privacy; Medical education; Gerontology; Nursing; Computer science; World Wide Web; Psychological intervention; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002755073,0.0009910086,0.0002691905,0.0007784093,0.0007674159,0.001256722,0.001422079,0.0006436736,0.00342342],"category_scores_gemma":[0.008959438,0.0002868852,0.0006307698,0.0001644653,0.0005726978,0.001653486,0.002174242,0.0005325198,0.0009593556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379073,"about_ca_system_score_gemma":0.001359657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008206512,"about_ca_topic_score_gemma":0.002618267,"domain_scores_codex":[0.9983973,0.0008761045,0.00009248433,0.0001490223,0.0003383634,0.0001467704],"domain_scores_gemma":[0.9978958,0.001178114,0.0001373022,0.000155946,0.0003136129,0.0003192483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000741518,0.004224867,0.0255643,0.00218528,0.0001081245,0.002081004,0.03319674,0.0006877714,0.02024296,0.00117825,0.02564457,0.8841445],"study_design_scores_gemma":[0.002197081,0.05051655,0.1929115,0.006394444,0.002310645,0.02046062,0.07525858,0.02672233,0.08797541,0.009686165,0.5244147,0.00115214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040585,0.0007154357,0.04340317,0.001956995,0.0003825101,0.01149903,0.0005420503,0.003513275,0.03392901],"genre_scores_gemma":[0.6921257,0.00139749,0.2788799,0.001046394,0.0002184592,0.009198867,0.0007215588,0.0004512416,0.01596034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00342342,"threshold_uncertainty_score":0.01457042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0948219916695881,"score_gpt":0.4715365664150487,"score_spread":0.3767145747454606,"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."}}