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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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Psychometric Methodologies and Testing
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

759 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.
759 works in the cohort · of 4,299,418page 9 of 16

Labels cover 20 of 759 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 759 of 759 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.

venueno affno abstractunlabeled
Self-Assessment
N A
2004· article· en· Dermatitis· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affgemma · no categorygpt · no categorymodels agree
A scoping review to create a framework for the steps in developing condition-specific preference-based instruments de novo or from an existing non-preference-based instrument: use of item response theory or Rasch analysis
Teresa Tsui, Sofía Torres, Joanna Bielecki, Nicholas Mitsakakis, Maureen Trudeau, Karen E. Bremner +2 more
2024· review· en· Health and Quality of Life Outcomes· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
Factor analyze this
Andrew Worster, Geoff Norman
2009· article· en· Canadian Journal of Emergency Medicine· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reporting test results
David L. Streiner, Geoffrey R. Norman, John Cairney
2014· book· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
venueno affno abstractunlabeled
Self-Assessment
Lawrence S. Feigenbaum
2024· article· en· Dermatitis· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Interval Scale
Bruno D. Zumbo
2023· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Multilevel Modeling
Riyad Khanfer, John Ryan, Howard Aizenstein, Seema Mutti, David Busse, Ilona S. Yim +53 more
2012· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Construct Validity: Developments and Debates
Kathleen L. Slaney
2017· book-chapter· en· Palgrave Macmillan UK eBooks· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affunlabeled
Validity
David L. Streiner, Geoffrey R. Norman, John Cairney
2014· book· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Bayesian mediation analysis in trauma research.
Kevin da Silva Castanheira, Nika Zahedi, Milica Miočević
2023· article· en· Psychological Trauma Theory Research Practice and Policy· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Test Theory and Measurement in Assessment
David L. Streiner
2021· book-chapter· en· Oxford University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About