{"id":"W4402893980","doi":"10.1080/14737159.2024.2406974","title":"Digital HIV self-testing as an exemplar: a perspective on benefits, challenges, and opportunities","year":2024,"lang":"en","type":"review","venue":"Expert Review of Molecular Diagnostics","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Fonds de recherche du Québec","keywords":"Perspective (graphical); Human immunodeficiency virus (HIV); Computational biology; Psychology; Medicine; Biology; Data science; Computer science; Virology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003865106,0.0006190539,0.002243782,0.0003689754,0.00005823988,0.00008133073,0.0002766171,0.0002283289,0.00007079243],"category_scores_gemma":[0.005806158,0.0004654458,0.0008661806,0.000234683,0.0001364624,0.0001225247,0.0002408833,0.0006788749,0.000145619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118961,"about_ca_system_score_gemma":0.0006079395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001215243,"about_ca_topic_score_gemma":0.000001101693,"domain_scores_codex":[0.9970648,0.00025477,0.0008873689,0.0007100384,0.0006831422,0.000399823],"domain_scores_gemma":[0.9972759,0.0006508631,0.0002643493,0.0007733058,0.0005216296,0.000513903],"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":[0.000002918525,0.0003658477,1.180416e-7,0.1254618,0.000498934,0.001032295,0.0001741366,6.466467e-9,1.690028e-7,0.01494833,0.0113301,0.8461853],"study_design_scores_gemma":[0.0001032167,0.0021607,2.319624e-7,0.369285,0.001176944,0.0005764773,0.0002138461,0.000003991206,0.000001717154,0.00008498107,0.6261505,0.0002423798],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001683153,0.9647776,0.00001395652,0.0009823593,0.00006022987,0.0017038,0.0003096334,0.0001014136,0.03204929],"genre_scores_gemma":[0.000002460473,0.9969826,0.0005693391,0.0004065804,0.0002348711,0.0003930337,0.0005156383,0.0001439581,0.0007514717],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.845943,"threshold_uncertainty_score":0.9997797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158147080969555,"score_gpt":0.4157916274646005,"score_spread":0.299976919367645,"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."}}