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
Data Planet
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.

9,602 results · 1 filter active ·
Results by year
20152024
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.
9,602 works in the cohort · of 4,299,418page 111 of 193

Labels cover 10 of 9,602 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 9,602 of 9,602 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
TREND: Bureau of Labor Statistics. State and Metro Area Employment, Hours, and Earnings: All Employees | State: Alaska, Arizona, Arkansas, California, Colorado, Florida, Illinois, Indiana, Iowa, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, Ohio, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, Washington DC, Wisconsin | Metropolitan Statistical Area: Akron, OH, Anchorage, AK, Baltimore City, MD, Boston-Cambridge-Newton, MA NECTA Division, Chicago-Naperville-Arlington Heights, IL Metropolitan Division, Denver-Aurora-Broomfield, CO, Des Moines-West Des Moines, IA, Detroit-Dearborn-Livonia, MI Metropolitan Division, Indianapolis-Carmel, IN, Lexington-Fayette, KY, Lincoln, NE, Little Rock-North Little Rock-Conway, AR, Los Angeles-Long Beach-Glendale, CA Metropolitan Division, McAllen-Edinburg-Mission, TX, Miami-Miami Beach-Kendall, FL Metropolitan Division, Milwaukee-Waukesha-West Allis, WI, Minneapolis-St. Paul-Bloomington, MN-WI, Minneapolis-St. Paul-Bloomington, MN-WI, Nashville-Davidson--Murfreesboro--Franklin, TN, Newark, NJ-PA Metropolitan Division, Phoenix-Mesa-Glendale, AZ, Portland-Vancouver-Hillsboro, OR-WA, Portland-Vancouver-Hillsboro, OR-WA, Provo-Orem, UT, Richmond, VA, Seattle-Bellevue-Everett, WA Metropolitan Division, Sioux Falls, SD, St. Louis, MO-IL, St. Louis, MO-IL, Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Private Service Providing, Manufacturing, Trade, Transportation, and Utilities, Retail Trade, Transportation and Utilities, Information, Financial Activities, Professional and Business Services, Education and Health Services, Leisure and Hospitality, Other Services, Government, 01/2008 - 01/2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 002-030-001
2020· other· en· Data Planet
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About