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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 44 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.

affno abstractgemma · metaresearchgpt · metaresearchmodels agree
The case-control design in veterinary sciences: A survey
Jonah N. Cullen, Jan M. Sargeant, Kelly M. Makielski, Annette M. O’Connor
2016· article· en· Preventive Veterinary Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
7
citations
affaboutunlabeled
Subgroup Analyses: When Should We Believe Them?
Michelle Ghert, Brad Petrisor
2012· article· en· Journal of Bone and Joint Surgery· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
7
citations
affno abstractunlabeled
We Know Accurately Only When We Know Little
Stuart MacLeod, Craig Mitton
2010· editorial· en· PharmacoEconomics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
Prioritising Cochrane reviews to be updated with health equity focus
E. Tomlinson, Jordi Pardo Pardo, Torunn E Sivesind, Mindy D Szeto, Melissa Laughter, Ruth Foxlee +16 more
2023· article· en· International Journal for Equity in Health· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
7
citations
affgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_broadmodels agree
A Systematic Survey of Control Groups in Behavioral and Social Science Trials
Mei Wang, Guangwen Sun, Yaping Chang, Yanling Jin, Alvin Leenus, Muhammad Maaz +15 more
2017· article· en· Research on Social Work Practice· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
7
citations
affunlabeled
When to <i>p</i> and when not to <i>p</i>
Shrikant I. Bangdiwala
2023· editorial· en· Neurogastroenterology & Motility· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
7
citations
affno abstractunlabeled
The three-minute appraisal of a randomized trial
Katelyn Godin, Mandeep Singh Dhillon, Mohit Bhandari
2011· article· en· Indian Journal of Orthopaedics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
7
citations

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