{"id":"W4391880482","doi":"10.2196/preprints.57348","title":"Development of a Web-Based HIV Pre-Exposure Prophylaxis (PrEP) Decision Support Tool to Improve Decision-Making for PrEP-eligible Black Patients (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Ontario HIV Treatment Network","keywords":"Decision aids; Pre-exposure prophylaxis; Context (archaeology); Guideline; Decision support system; Medicine; Human immunodeficiency virus (HIV); Family medicine; Psychology; Medical education; Computer science; Men who have sex with men; Alternative medicine; Data mining; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0118619,0.0007075664,0.0005336967,0.001451283,0.0009086221,0.003018658,0.001488584,0.0008195138,0.01778848],"category_scores_gemma":[0.03926211,0.0006187459,0.001150173,0.0006828861,0.0004592665,0.00200656,0.001828215,0.001512232,0.004173483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228419,"about_ca_system_score_gemma":0.006946098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944771,"about_ca_topic_score_gemma":0.003655438,"domain_scores_codex":[0.9947484,0.002956594,0.000607967,0.0002580663,0.001232856,0.0001960507],"domain_scores_gemma":[0.9749698,0.01624814,0.000833018,0.0008198671,0.005657909,0.00147133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000734537,0.002530085,0.01275764,0.002033983,0.0000950194,0.0009834394,0.005669805,0.003997243,0.005708914,0.004146148,0.1362739,0.8250692],"study_design_scores_gemma":[0.0024312,0.007399401,0.0447682,0.008719851,0.0005233268,0.003138351,0.01257567,0.09040178,0.04051024,0.01367262,0.775129,0.0007303228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2862853,0.00143701,0.4937421,0.02583628,0.003485521,0.0449232,0.0107808,0.03617812,0.09733162],"genre_scores_gemma":[0.06524166,0.0005631653,0.9117722,0.001725671,0.00009810174,0.004621522,0.00245944,0.0004207632,0.01309741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01778848,"threshold_uncertainty_score":0.06273252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170329113631882,"score_gpt":0.3407332158221199,"score_spread":0.319029924685801,"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."}}