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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.

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.

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 46 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.

venueaboutno affunlabeled
Outbreak reporting guide
2015· article· en· Canada Communicable Disease Report· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Systematic Review in Clinical Research
Patrick Schober, Thomas R. Vetter
2020· letter· en· Anesthesia & Analgesia· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
afffundunlabeled
Protocol for a scoping review of sepsis epidemiology
M. Elizabeth Wilcox, Marietou Daou, Joanna C. Dionne, Peter Dodek, Marina Englesakis, Allan Garland +6 more
2022· review· en· Systematic Reviews· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
How can we make sound replication decisions?
Clintin P. Davis‐Stober, Alexandra Sarafoglou, Balázs Aczél, Suyog Chandramouli, Timothy M. Errington, Sarahanne Field +12 more
2025· article· en· Proceedings of the National Academy of Sciences· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
affunlabeled
Choosing the right journal for your systematic review
Marluci Betini, Enilze de Souza Nogueira Volpato, Guilherme D. J. Anastácio, Renata T. B. G. de Faria, Regina El Dib
2014· article· en· Journal of Evaluation in Clinical Practice· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
affno abstractunlabeled
The Changing Landscape of Journalology in Medicine
Mitch Wilson, David Moher
2018· review· en· Seminars in Nuclear Medicine· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
6
citations
afffundunlabeled
Setting sample size using cost efficiency in fMRI studies
Qing Guo, Hall, McKinnon, Lehana Thabane, Ron Goeree, Pullenayegum
2012· article· en· Open Access Medical Statistics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
affunlabeled
Keeping Meta-analyses Fresh
Jesse A. Berlin, Gordon D. Rubenfeld, Roisin E. O’Cearbhaill, Amy S. Shah, Stephan D. Fihn
2022· article· en· JAMA Network Open· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
affvenueno abstractunlabeled
Low power and type II errors in recent ophthalmology research
Zainab Khan, Jordan Milko, Munir Iqbal, Moness Masri, David R.P. Almeida
2016· review· en· Canadian Journal of Ophthalmology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
affno abstractunlabeled
Meta-analysis of Pragmatic and Explanatory Trials
Lawrence Mbuagbaw, Theresa Aves
2021· review· en· Methods in molecular biology· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · none
6
citations
afffundgemma · metaresearch+metaepi_narrow+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
Inadequate Reporting of Cointerventions, Other Methodological Factors, and Treatment Estimates in Cardiovascular Trials: A Meta-Epidemiological Study
Jonas Bührer, Cinzia Del Giovane, Bariş Gencer, Luise Adam, Christina Lyko, Martin Feller +5 more
2023· article· en· Mayo Clinic Proceedings Innovations Quality & Outcomes· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · metaresearch
6
citations
affunlabeled
Intention-to-Treat Analysis in Clinical Research
Susan Armijo‐Olivo, Jordana Barbosa da Silva, Ester Moreira de Castro‐Carletti, Ana Izabela Sobral de Oliveira‐Souza, Elisa Bizetti Pelai, Norazlin Mohamad +5 more
2024· review· en· American Journal of Physical Medicine & Rehabilitation· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations

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