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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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Sodium Intake and Health
Retraction
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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.

affaffiliation
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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.

717 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
717 works in the cohort · of 4,299,418page 2 of 15

Labels cover 3 of 717 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 717 of 717 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
Salt and high blood pressure
Sailesh Mohan, Norm R.C. Campbell
2009· review· en· Clinical Science· Nursing
machine prediction:candidate · noneconsensus · none
107
citations
afffundunlabeled
PGE2, Kidney Disease, and Cardiovascular Risk
Rania Nasrallah, Ramzi Hassouneh, Richard Hébert
2015· review· en· Journal of the American Society of Nephrology· Nursing
machine prediction:candidate · noneconsensus · none
97
citations
afffundunlabeled
Healthy Food Procurement Policies and Their Impact
Mark L. Niebylski, Tammy Lu, Norm R.C. Campbell, JoAnne Arcand, Alyssa Schermel, Diane Hua +5 more
2014· review· en· International Journal of Environmental Research and Public Health· Nursing
machine prediction:candidate · noneconsensus · none
87
citations
affunlabeled
Salt, processed meat and the risk of cancer
Jinfu Hu, Carlo La Vecchia, Howard Morrison, Eva Negri, Les Mery
2010· article· en· European Journal of Cancer Prevention· Nursing
machine prediction:candidate · noneconsensus · none
78
citations
affvenueaboutunlabeled
Sodium food sources in the Canadian diet
Peter W.F. Fischer, Michel Vigneault, Rong Huang, Konstantinia Arvaniti, Paula Roach
2009· article· en· Applied Physiology Nutrition and Metabolism· Nursing
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
Rodent models of hypertension
Hamdi Jama, Rikeish R. Muralitharan, Chudan Xu, Joanne A. O’Donnell, Mariane Bertagnolli, Bradley Broughton +2 more
2021· review· en· British Journal of Pharmacology· Nursing
machine prediction:candidate · noneconsensus · none
76
citations
afffundno abstractunlabeled
Immune Mechanisms in Hypertension
Avshalom Leibowitz, Ernesto L. Schiffrin
2011· review· en· Current Hypertension Reports· Nursing
machine prediction:candidate · noneconsensus · none
73
citations
afffundno abstractunlabeled
The brain and salt-sensitive hypertension
Frans H. H. Leenen, Marcel Ruzicka, Bing Huang
2002· review· en· Current Hypertension Reports· Nursing
machine prediction:candidate · noneconsensus · none
67
citations
afffundno abstractunlabeled
Innate Immunity in Hypertension
Muhammad Oneeb Rehman Mian, Pierre Paradis, Ernesto L. Schiffrin
2014· review· en· Current Hypertension Reports· Nursing
machine prediction:candidate · noneconsensus · none
62
citations
affunlabeled
Dietary Sodium Intake and Mortality
Krista A. Esslinger, Peter J.H. Jones
2009· review· en· Nutrition Reviews· Nursing
machine prediction:candidate · noneconsensus · none
61
citations

How this was built: Screen · Findings · About