{"id":"W7161145933","doi":"10.2196/72088","title":"Lessons from Building a Large, Public, HIV-Related Database in Support of Ending the HIV Epidemic Initiative (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Human immunodeficiency virus (HIV); Confidentiality; Government (linguistics); Pandemic; Work (physics)","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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.223164,0.001340754,0.002227501,0.005921013,0.006617135,0.03005988,0.01330389,0.009719797,0.02429702],"category_scores_gemma":[0.5253229,0.002152491,0.002648369,0.007941321,0.006029223,0.04016714,0.01965545,0.01536012,0.01208774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006207678,"about_ca_system_score_gemma":0.05417657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02707238,"about_ca_topic_score_gemma":0.02386977,"domain_scores_codex":[0.8443657,0.1095841,0.01569435,0.006413904,0.01836186,0.005580072],"domain_scores_gemma":[0.3128237,0.4099373,0.01749255,0.1149091,0.08594787,0.0588895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002085555,0.003092903,0.04664321,0.003660622,0.0005616453,0.001540925,0.01240758,0.002689379,0.002629596,0.0398107,0.5657585,0.3191194],"study_design_scores_gemma":[0.003333078,0.002203538,0.04579918,0.009501322,0.001059793,0.002649132,0.04174317,0.01567105,0.00708186,0.0964228,0.7735705,0.0009646465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02095783,0.002427737,0.04376017,0.8929217,0.005581713,0.003182661,0.01026211,0.006287625,0.01461852],"genre_scores_gemma":[0.2353732,0.006018184,0.5721338,0.1114261,0.01045397,0.006205476,0.04400737,0.004472628,0.009909267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9866961,"threshold_uncertainty_score":0.9579771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115596426877138,"score_gpt":0.4850804915152037,"score_spread":0.3735208488274899,"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."}}