{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002251789,0.0006198806,0.0002469994,0.0006863222,0.0006274403,0.001094059,0.0008818326,0.0007490548,0.01008813],"category_scores_gemma":[0.009574874,0.0002089977,0.0006322342,0.0002077333,0.0002933001,0.001672062,0.00224678,0.0005299991,0.001850614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741608,"about_ca_system_score_gemma":0.000767691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005136651,"about_ca_topic_score_gemma":0.001562009,"domain_scores_codex":[0.998623,0.0007952112,0.00009055941,0.00009640054,0.0002939976,0.000100769],"domain_scores_gemma":[0.9964893,0.002306268,0.000242551,0.0001681469,0.0003918692,0.0004019179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001217955,0.002254077,0.01909482,0.002698333,0.0001136596,0.0008900161,0.00825892,0.0003564279,0.005569938,0.0004455419,0.06163755,0.8974628],"study_design_scores_gemma":[0.003796192,0.0365367,0.1579227,0.009796027,0.002049217,0.01166538,0.02221922,0.01317103,0.02940509,0.006881398,0.7056357,0.000921555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8726633,0.004099873,0.04014892,0.005655213,0.001045362,0.009384389,0.003093783,0.0103465,0.05356269],"genre_scores_gemma":[0.7821035,0.005647973,0.1555694,0.004548397,0.0009125607,0.01224136,0.002957376,0.0005180687,0.03550143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008813,"threshold_uncertainty_score":0.03374821,"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."}}