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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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Biotechnology and Related Fields
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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.

1,124 results · 1 filter active ·
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20002025
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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.
1,124 works in the cohort · of 4,299,418page 1 of 23

Labels cover 9 of 1,124 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 1,124 of 1,124 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.

affunlabeled
Global implementation of genomic medicine: We are not alone
Teri A. Manolio, Marc Abramowicz, Fahd Al‐Mulla, Warwick P. Anderson, Rudi Balling, Adam C. Berger +38 more
2015· review· en· Science Translational Medicine· Medicine
machine prediction:candidate · noneconsensus · none
246
citations
afffundno abstractunlabeled
Chinese health biotech and the billion-patient market
Sarah E Frew, Stephen M. Sammut, Alysha F Shore, Joshua Ramjist, Sara Al-Bader, Rahim Rezaie +2 more
2008· review· en· Nature Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
103
citations
afffundno abstractunlabeled
India's health biotech sector at a crossroads
Sarah E Frew, Rahim Rezaie, Stephen M. Sammut, Monali Ray, Abdallah S. Daar, Peter Singer
2007· article· en· Nature Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
92
citations
afffundno abstractunlabeled
Health biotechnology in China—reawakening of a giant
Zhenzhen Li, Wen Ke, Halla Thorsteinsdóttir, Uyen Quach, Peter Singer, Abdallah S. Daar
2004· article· en· Nature Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
51
citations
afffundno abstractunlabeled
Nanotechnology, equity and global health
Fabio Salamanca‐Buentello, Abdallah S. Daar
2021· article· en· Nature Nanotechnology· Medicine
machine prediction:candidate · noneconsensus · none
50
citations
affno abstractunlabeled
To burst, or rather, not to burst
Mircea Steriade
2001· letter· en· Nature Neuroscience· Medicine
machine prediction:candidate · noneconsensus · none
47
citations
affno abstractunlabeled
A world without competition
Peter A. Abrams
2001· article· en· Nature· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Perspectives on Drug Repurposing
Alejandro Schcolnik‐Cabrera, Daniel Juárez-López, Alfonso Dueñas‐González
2020· article· en· Current Medicinal Chemistry· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
affno abstractunlabeled
The emergence of the nanobiotechnology industry
Elicia Maine, V. J. Thomas, Martin Bliemel, Armstrong Murira, James M. Utterback
2014· article· en· Nature Nanotechnology· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
afffundno abstractunlabeled
South-South entrepreneurial collaboration in health biotech
Halla Thorsteinsdóttir, Christina C Melon, Monali Ray, Sharon Chakkalackal, Michelle Li, Jan E Cooper +11 more
2010· article· en· Nature Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
38
citations
afffundno abstractunlabeled
Small but tenacious: South Africa's health biotech sector
Sara Al-Bader, Sarah E Frew, Insiya Essajee, Victor Y. Liu, Abdallah S. Daar, Peter Singer
2009· article· en· Nature Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Embrace experimentation in biosecurity governance
Sam Weiss Evans, Jacob Beal, Kavita M. Berger, Diederik A. Bleijs, Alessia Cagnetti, Francesca Ceroni +12 more
2020· article· en· Science· Medicine
machine prediction:candidate · metaresearchconsensus · none
29
citations
afffundno abstractunlabeled
South Africa—blazing a trail for African biotechnology
Marion Motari, Uyen Quach, Halla Thorsteinsdóttir, Douglas K. Martin, Abdallah S. Daar, Peter Singer
2004· article· en· Nature Biotechnology· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Gene Therapy Arrives
Jim Daley
2019· article· en· Nature· Medicine
machine prediction:candidate · noneconsensus · none
28
citations
afffundunlabeled
Science-based health innovation in sub-Saharan Africa
Sara Al-Bader, Hassan Masum, Ken Simiyu, Abdallah S. Daar, Peter Singer
2010· article· en· BMC International Health and Human Rights· Medicine
machine prediction:candidate · noneconsensus · none
27
citations

How this was built: Screen · Findings · About