{"id":"W2907916272","doi":"10.2196/11578","title":"Development of PositiveLinks: A Mobile Phone App to Promote Linkage and Retention in Care for People With HIV","year":2018,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Mobile phone; Phone; Internet privacy; mHealth; Formative assessment; App store; Linkage (software); Mobile apps; Psychology; Smartphone app; Medicine; World Wide Web; Computer science; Nursing; Psychological intervention","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":[0.001929447,0.0001147084,0.0002864889,0.0004008098,0.001114587,0.000007136156,0.0001379871,0.0001458312,0.00004908253],"category_scores_gemma":[0.00007592665,0.00009194691,0.0000170121,0.0008094494,0.0001038054,0.0001327772,0.0001496421,0.0005070917,0.0001378274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003638089,"about_ca_system_score_gemma":0.001191894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181142,"about_ca_topic_score_gemma":0.002423705,"domain_scores_codex":[0.9976417,0.0002652635,0.000642939,0.000291291,0.0003773204,0.0007815293],"domain_scores_gemma":[0.9975426,0.00030298,0.000155991,0.0002336089,0.001440465,0.0003243905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001859377,0.0003980837,0.00702122,0.012438,0.00002156709,7.563081e-7,0.8141019,0.000001340607,0.003212772,0.002355684,0.004891872,0.1536974],"study_design_scores_gemma":[0.00960777,0.005812334,0.2885164,0.005706008,0.00001205502,0.000004505459,0.2343851,0.00103939,0.007872758,0.000730487,0.4457335,0.0005797522],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976826,0.0001128669,0.004407713,0.0005374885,0.0000420017,0.01609277,0.0001083324,0.0000317375,0.001841135],"genre_scores_gemma":[0.9147544,0.00004131605,0.01682933,0.0001109253,0.00008463148,0.06771453,0.0001135586,0.00002167585,0.0003296299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5797168,"threshold_uncertainty_score":0.8572614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06252783441085032,"score_gpt":0.4852825448326674,"score_spread":0.4227547104218171,"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."}}