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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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Advanced Text Analysis Techniques
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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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aboutaboutness

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

552 results · 1 filter active ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
552 works in the cohort · of 4,299,418page 1 of 12

Labels cover 2 of 552 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 552 of 552 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affno abstractunlabeled
A rational model of function learning
2015· review· en· Psychonomic Bulletin & Review· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
112
citations
affunlabeled
The p-value fallacy and how to avoid it.
2003· article· en· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
88
citations
affunlabeled
Review spotlight
2011· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
83
citations
affunlabeled
KEA
2004· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
73
citations
affunlabeled
Story Forest
2020· article· en· ACM Transactions on Knowledge Discovery from Data· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
60
citations
affunlabeled
The scientific study of literature
2011· article· en· Scientific Study of Literature· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
46
citations
affaboutunlabeled
When experts agree
2001· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
43
citations

How this was built: Screen · Findings · About