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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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Meta-analysis and systematic reviews
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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.

4,076 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.
4,076 works in the cohort · of 4,299,418page 4 of 82

Labels cover 359 of 4,076 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 4,076 of 4,076 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.

afffundunlabeled
RAMESES publication standards: meta-narrative reviews
Geoff Wong, Trisha Greenhalgh, Gill Westhorp, Jeanette Buckingham, Ray Pawson
2013· article· en· BMC Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
599
citations
venueno affunlabeled
Evidence of bias and variation in diagnostic accuracy studies
Anne WS Rutjes, Johannes B. Reitsma, Marcello Di Nisio, Nynke Smidt, Jeroen C. van Rijn, Patrick M. Bossuyt
2006· article· en· Canadian Medical Association Journal· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
596
citations
affno abstractunlabeled
Correction for Multiple Testing
David L. Streiner, Geoffrey R. Norman
2011· review· en· CHEST Journal· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
582
citations
affunlabeled
How to Use a Subgroup Analysis
Xin Sun, John P. A. Ioannidis, Thomas Agoritsas, Ana Carolina Alba, Gordon Guyatt
2014· article· en· JAMA· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
547
citations
afffundaboutunlabeled
CONSORT 2010 Statement
Kenneth F. Schulz, Douglas G. Altman, David Moher
2010· article· en· Obstetrics and Gynecology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
527
citations
affno abstractgemma · metaresearchgpt · scholarly_communication+open_sciencemodels split
An international registry of systematic-review protocols
Alison Booth, Mike Clarke, Davina Ghersi, David Moher, Mark Petticrew, Lesley Stewart
2010· article· en· The Lancet· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
521
citations
affno abstractunlabeled
Reporting scoping reviews—PRISMA ScR extension
Jessie McGowan, Sharon E. Straus, David Moher, Étienne V Langlois, Kelly K. O’Brien, Tanya Horsley +7 more
2020· article· en· Journal of Clinical Epidemiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
469
citations
affunlabeled
Post Hoc Power Analysis: An Idea Whose Time Has Passed?
Marc Levine, Mary H. H. Ensom
2001· article· en· Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
461
citations
affunlabeled
Validity of composite end points in clinical trials
Víctor M. Montori, Gaietà Permanyer-Miralda, Ignacio Ferreira‐González, Jason W. Busse, Valeria Pacheco‐Huergo, Dianne Bryant +8 more
2005· review· en· BMJ· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
435
citations
afffundunlabeled
Star Wars: The Empirics Strike Back
Abel Brodeur, Mathias Lé, Marc Sangnier, Yanos Zylberberg
2015· article· en· American Economic Journal Applied Economics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
419
citations
affunlabeled
Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance
Clare L. Ardern, Fionn Büttner, Renato Andrade, Adam Weir, Maureen C. Ashe, Sinéad Holden +15 more
2021· article· en· British Journal of Sports Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
418
citations

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