{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00235929,0.0001086513,0.000274082,0.0003300989,0.0008408955,0.00000820221,0.00007605081,0.0001156823,0.00002945286],"category_scores_gemma":[0.0001076756,0.00009701148,0.00001886004,0.0002310486,0.00008758825,0.0002020947,0.0001358771,0.0007379694,0.00002879618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529974,"about_ca_system_score_gemma":0.0006590184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001437453,"about_ca_topic_score_gemma":0.0003644705,"domain_scores_codex":[0.997722,0.0004076481,0.0006401374,0.0002733626,0.000304242,0.0006526132],"domain_scores_gemma":[0.9975401,0.001087161,0.0001867933,0.0001547641,0.000826408,0.000204839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001427555,0.0001110183,0.1399349,0.009760842,0.0000213164,2.779145e-7,0.6548912,0.000002526398,0.0003599133,0.007516863,0.0005048426,0.1854687],"study_design_scores_gemma":[0.00544614,0.0008335037,0.229906,0.001982683,0.000004582051,9.787748e-7,0.743889,0.001521816,0.0002008522,0.0002232057,0.0158219,0.0001693789],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846557,0.0005851393,0.0007125602,0.0002338544,0.00009192557,0.01090707,0.00005767362,0.0000216997,0.002734374],"genre_scores_gemma":[0.975327,0.00009550854,0.0006801828,0.00007281655,0.00003427643,0.02340954,0.0001016253,0.00001486656,0.0002641839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852993,"threshold_uncertainty_score":0.6467573,"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."}}