Cohort builder

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.

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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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International Journal of Information Systems for Crisis Response and Management

Topic

Retraction

Abstract

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Study design

Label agreement

Label status

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.

5 results · 1 filter active ·

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20112017

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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.

5 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 5 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 5 of 5 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled

Crowdsourcing the Disaster Management Cycle

Sara Harrison, Peter A. Johnson

2016· article· en· International Journal of Information Systems for Crisis Response and Management· Social Sciences