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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 1 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.

afffundno abstractunlabeled
Endocannabinoid signaling at the periphery: 50 years after THC
Mauro Maccarrone, Itai Bab, Tamás Bı́ró, Guy A. Cabral, Sudhansu K. Dey, Vincenzo Di Marzo +6 more
2015· review· en· Trends in Pharmacological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
641
citations
affno abstractunlabeled
Ferroptosis Inhibition: Mechanisms and Opportunities
José Pedro Friedmann Angeli, Ron Shah, Derek A. Pratt, Marcus Conrad
2017· review· en· Trends in Pharmacological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
576
citations
affno abstractunlabeled
Emerging molecular mechanisms of general anesthetic action
Hugh C. Hemmings, Myles H. Akabas, Peter A. Goldstein, James R. Trudell, Beverley A. Orser, Neil L. Harrison
2005· review· en· Trends in Pharmacological Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
552
citations
affno abstractunlabeled
Hydrogen sulfide-releasing anti-inflammatory drugs
John L. Wallace
2007· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
325
citations
afffundno abstractunlabeled
Nucleoside transporters: from scavengers to novel therapeutic targets
Anne E. King, Michael A. Ackley, Carol E. Cass, James D. Young, Stephen A. Baldwin
2006· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
281
citations
affno abstractunlabeled
Non-genomic Effects of Glucocorticoids: An Updated View
Reynold A. Panettieri, Dedmer Schaafsma, Yassine Amrani, Cynthia Koziol‐White, Rennolds S. Ostrom, Omar Tliba
2018· review· en· Trends in Pharmacological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
278
citations
affno abstractunlabeled
St John's wort: Prozac from the plant kingdom
Francesca Borrelli, Edzard Ernst, Angelo A. Izzo
2001· review· en· Trends in Pharmacological Sciences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
275
citations
affno abstractunlabeled
Pharmacological chaperones: a new twist on receptor folding
Jean-Pierre Morello, Michel Bouvier, Ulla E. Petäjä‐Repo, Daniel G. Bichet
2000· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
240
citations
affno abstractunlabeled
Antidepressant action: to the nucleus and beyond
Jessica E. Malberg, Julie A. Blendy
2005· review· en· Trends in Pharmacological Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
193
citations
afffundno abstractunlabeled
Physiological Roles of Non-Neuronal NMDA Receptors
Adam D. Hogan-Cann, Christopher M. Anderson
2016· review· en· Trends in Pharmacological Sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
172
citations
affno abstractunlabeled
Regulation of neuronal T-type calcium channels
Mircea Iftinca, Gerald W. Zamponi
2008· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
163
citations
affno abstractunlabeled
The role of H2S bioavailability in endothelial dysfunction
Rui Wang, Csaba Szabó, Fumito Ichinose, Asif Ahmed, Matthew Whiteman, Andreas Papapetropoulos
2015· review· en· Trends in Pharmacological Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
160
citations

How this was built: Screen · Findings · About