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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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Delphi Technique in Research
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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.

1,476 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.
1,476 works in the cohort · of 4,299,418page 1 of 30

Labels cover 20 of 1,476 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 1,476 of 1,476 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
A Consensus-Based Checklist for Reporting of Survey Studies (CROSS)
Akash Sharma, Nguyen Tran Minh Duc, Tai Luu Lam Thang, Nguyen Hai Nam, Sze Jia Ng, Kirellos Said Abbas +22 more
2021· article· en· Journal of General Internal Medicine· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
2,098
citations
afffundunlabeled
Guidelines for Reporting Outcomes in Trial Reports
Nancy J. Butcher, Andrea Monsour, Emma J. Mew, An‐Wen Chan, David Moher, Evan Mayo‐Wilson +20 more
2022· review· en· JAMA· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
707
citations
affunlabeled
What are Delphi studies?
David Barrett, Roberta Heale
2020· article· en· Evidence-Based Nursing· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
535
citations
afffundunlabeled
Guidelines for Reporting Outcomes in Trial Protocols
Nancy J. Butcher, Andrea Monsour, Emma J. Mew, An‐Wen Chan, David Moher, Evan Mayo‐Wilson +20 more
2022· review· en· JAMA· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
301
citations
affno abstractunlabeled
Consensus on the management of intracranial germ-cell tumours
Matthew J. Murray, Ute Bartels, Ryo Nishikawa, Jason Fangusaro, Masao Matsutani, James C. Nicholson
2015· review· en· The Lancet Oncology· Social Sciences
machine prediction:candidate · noneconsensus · none
249
citations
affunlabeled
Preregistering Qualitative Research: A Delphi Study
Tamarinde Haven, Timothy M. Errington, Kristian Skrede Gleditsch, Leonie van Grootel, Alan M. Jacobs, Florian G. Kern +3 more
2020· article· en· International Journal of Qualitative Methods· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
224
citations
affunlabeled
Building Consensus
Michael G. Vitale, Matthew D. Riedel, Michael P. Glotzbecker, Hiroko Matsumoto, David P. Roye, Behrooz A. Akbarnia +19 more
2013· article· en· Journal of Pediatric Orthopaedics· Social Sciences
machine prediction:candidate · noneconsensus · none
211
citations

How this was built: Screen · Findings · About