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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Current HIV/AIDS Reports
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

49 results · 1 filter active ·
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20042025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
49 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 49 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 49 of 49 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Coreceptors and HIV-1 Pathogenesis
Paul R. Gorry, Petronela Ancuța
2010· review· en· Current HIV/AIDS Reports· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
130
citations
affno abstractunlabeled
T-cell exhaustion in HIV infection
Mohamed El‐Far, Rabih Halwani, Elias A. Said, Lydie Trautmann, Mehrnoosh Doroudchi, Loury Janbazian +5 more
2008· review· en· Current HIV/AIDS Reports· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
84
citations
aboutno affno abstractunlabeled
Managing HIV/AIDS in correctional settings
Sandra A. Springer, Frederick L. Altice
2005· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
67
citations
affno abstractunlabeled
Intimate Partner Violence and HIV: A Review
Reed Siemieniuk, Hartmut B. Krentz, M. John Gill
2013· review· en· Current HIV/AIDS Reports· Social Sciences
machine prediction:candidate · noneconsensus · none
64
citations
affno abstractunlabeled
Inflammation and HIV Transmission in Sub-Saharan Africa
Rupert Kaul, Jessica L. Prodger, Vineet Joag, Brett Shannon, Sergey Yegorov, Ronald M. Galiwango +1 more
2015· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
56
citations
affno abstractunlabeled
NASH in HIV
Adriana Cervo, Mohamed Shengir, Keyur Patel, Giada Sebastiani
2020· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
43
citations
afffundunlabeled
Genetic Cluster Analysis for HIV Prevention
M. Kate Grabowski, Joshua T. Herbeck, Art F. Y. Poon
2018· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
43
citations
affno abstractunlabeled
Frailty in People Living with HIV
Julian Falutz
2020· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Treatment as Prevention—Where Next?
Mark Hull, Joep M. A. Lange, Julio Montaner
2014· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
26
citations
afffundno abstractunlabeled
How Does Voluntary Medical Male Circumcision Reduce HIV Risk?
Jessica L. Prodger, Ronald M. Galiwango, Aaron A.R. Tobian, Daniel E. Park, Cindy M. Liu, Rupert Kaul
2022· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Providing antiretroviral care in conflict settings
Edward J. Mills, Nathan Ford, Sonal Singh, Oghenowede Eyawo
2009· review· en· Current HIV/AIDS Reports· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
afffundno abstractunlabeled
Tools for Visualizing HIV in Cure Research
Julia Niessl, Amy E. Baxter, Daniel E. Kaufmann
2018· review· en· Current HIV/AIDS Reports· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About