MétaCan
Menu
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.

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Foresight-Russia
Topic
Retraction
Abstract
Evidence source
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.

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.

22 results · 1 filter active ·
Results by year
20072021
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
22 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 22 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 22 of 22 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.

aboutno affunlabeled
Culture and Innovation: Approach to the Problem
Evgeniy Yasin, Nadezhda Lebedeva
2009· article· en· Foresight-Russia· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Two levels of Foresight in Canada
Mikhail Salazkin, Аlexander Bikkulov
2007· article· en· Foresight-Russia· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Small R&D Performers in Canada
Antoine Rose, Fred Gault
2007· article· en· Foresight-Russia· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
XV Апрельская международная научная конференция НИУ ВШЭ «Модернизация экономики и общества». Семинар «Долгосрочное прогнозирование науки, технологий и инноваций: вызовы для научно-технической политики» (2-3 апреля 2014 года)
Сергей Бредихин, В. Ю. Рудь, Анастасия Еделькина, Максим Николаевич Коцемир, Евгений Куценко, Любовь Матич +2 more
2014· article· ru· Foresight-Russia· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About