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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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Trends in Pharmacological Sciences
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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.

140 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.
140 works in the cohort · of 4,299,418page 3 of 3

Labels cover 1 of 140 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 140 of 140 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
Brain TRPV1: a depressing TR(i)P down memory lane?
Vincenzo Di Marzo, Gabriella Gobbi, A Szállaśi
2008· article· en· Trends in Pharmacological Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
37
citations
affno abstractunlabeled
Refining Early Antitumoral Drug Development
Alberto Ocaña, Sara García‐Alonso, Eitan Amir, Atanasio Pandiella
2018· review· en· Trends in Pharmacological Sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
HSV-1 as a gene delivery platform for cancer gene therapy
Yangkun Shen, Hucheng Zhang, Mengzhou Xue, Chunfu Zheng, Qi Chen
2025· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractgemma · metaresearchgpt · metaresearchmodels split
The Academic–Industrial Complexity: Failure to Launch
Leonard A. Levin, Francine Béhar‐Cohen
2017· review· en· Trends in Pharmacological Sciences· Medicine
machine prediction:candidate · metaresearchconsensus · none
15
citations
aboutno affunlabeled
Nonprofit foundations spur translational research
Paola Zaratin, Mario Alberto Battaglia, Maria P. Abbracchio
2014· article· en· Trends in Pharmacological Sciences· Computer Science
machine prediction:candidate · metaresearchconsensus · none
12
citations
afffundno abstractunlabeled
Proteomics and Imaging in Crohn’s Disease: TAILS of Unlikely Allies
Barbara Mainoli, Simon A. Hirota, Laura E. Edgington‐Mitchell, Ping Lu, Antoine Dufour
2020· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Emerging autism and Fragile X syndrome treatments
Michael Parkhill, Natalina Salmaso, Amedeo D’Angiulli, Vivian Lee, Argel Aguilar‐Valles
2025· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
afffundno abstractunlabeled
Rewired Cas9s with Minimal Sequence Constraints
Sébastien Levesque, Daniel Agudelo, Yannick Doyon
2020· letter· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
Spare the pain for your gut Treg cells!
Manon Defaye, Christophe Altier
2024· article· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
How to keep your favourite virus in check
Nikolaus Heveker
2002· article· en· Trends in Pharmacological Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Microcirculation down under
Tailoi Chan‐Ling, Mary E. Gerritsen, Caryl E. Hill, Paul Kubes, Michael A. Perry
2002· article· en· Trends in Pharmacological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Bridging the gap in neuropsychiatric translational research
Magnus Ingelman‐Sundberg, Jean Lud Cadet, Gabriella Gobbi, David E. Olson, Samantha E. Yohn, Daniel J. Foster
2022· article· en· Trends in Pharmacological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Dismantling a Toxin to Disarm a Superbug
Simoun Icho, Roman A. Melnyk
2019· letter· en· Trends in Pharmacological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

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