{"id":"W2888962189","doi":"10.2196/11807","title":"Improving Adherence to PrEP Though Real-Time Monitoring Paired with Personalized, Automated Text Interventions","year":2018,"lang":"en","type":"article","venue":"Iproceedings","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Medicine; Human immunodeficiency virus (HIV); Pharmacy; Medical prescription; Pre-exposure prophylaxis; Medical emergency; Family medicine; Internet privacy; Nursing; Men who have sex with men; Computer science","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":[0.001444466,0.0003396487,0.0003870304,0.0003276274,0.000247761,0.0007215411,0.0004047295,0.0004501171,0.005299964],"category_scores_gemma":[0.005510641,0.0001693042,0.0003362744,0.0003312773,0.000123583,0.0006053936,0.0004949353,0.0004223565,0.0009149949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939751,"about_ca_system_score_gemma":0.0005946389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009653856,"about_ca_topic_score_gemma":0.001345789,"domain_scores_codex":[0.9984352,0.0008232408,0.00009961257,0.0002732905,0.0002627106,0.0001059501],"domain_scores_gemma":[0.9979882,0.001056318,0.0004265542,0.0001856244,0.0001585218,0.0001848478],"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":[0.005049577,0.01273418,0.111162,0.000582344,0.0002686756,0.00009800671,0.0007212767,0.002743926,0.007219536,0.0003059035,0.005970483,0.853144],"study_design_scores_gemma":[0.003741385,0.04785464,0.8087006,0.0007790636,0.001252836,0.0006995276,0.001497152,0.07940048,0.02937291,0.00227832,0.02419793,0.0002251445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669212,0.0005816489,0.01710392,0.001257475,0.0001389938,0.00121576,0.0010663,0.001281826,0.01043286],"genre_scores_gemma":[0.975849,0.0002486799,0.02030546,0.0003721935,0.0001209111,0.0009828074,0.000332118,0.00002194721,0.001766989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005299964,"threshold_uncertainty_score":0.01773012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04478182123272667,"score_gpt":0.3637927131508693,"score_spread":0.3190108919181426,"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."}}