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 183 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
RANKING: United States Census Bureau. US Trade by Commodity Group: Imports | World Customs Organization Harmonized System Trade Number: 02, 08, 09, 10, 17, 18, 22, 24, 30, 32, 33, 34, 42, 46, 49, 50, 51, 52, 61, 62, 64, 66, 70, 82, 87, 91, 95 | Consumer Item: Meat And Edible Meat Offal, Edible Fruit & Nuts; Citrus Fruit Or Melon Peel, Coffee, Tea, Mate & Spices, Cereals, Sugars And Sugar Confectionary, Cocoa And Cocoa Preparations, Beverages, Spirits And Vinegar, Tobacco And Manufactured Tobacco Substitutes, Pharmaceutical Products, Tanning & Dye Ext Etc; Dye, Paint, Putty Etc; Inks, Essential Oils Etc; Perfumery, Cosmetic Etc Preps, Soap Etc; Waxes, Polish Etc; Candles; Dental Preps, Leather Art; Saddlery Etc; Handbags Etc; Gut Art, Mfr Of Straw, Esparto Etc.; Basketware & Wickerwrk, Printed Books, Newspapers Etc; Manuscripts Etc, Silk, Including Yarns And Woven Fabric Thereof, Wool & Animal Hair, Including Yarn & Woven Fabric, Cotton, Including Yarn And Woven Fabric Thereof, Apparel Articles And Accessories, Knit Or Crochet, Apparel Articles And Accessories, Not Knit Etc., Footwear, Gaiters Etc. And Parts Thereof, Umbrellas, Walking-sticks, Riding-crops Etc, Parts, Glass And Glassware, Tools, Cutlery Etc. Of Base Metal & Parts Thereof, Vehicles, Except Railway Or Tramway, And Parts Etc, Clocks And Watches And Parts Thereof, Toys, Games & Sport Equipment; Parts & Accessories, 2013. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-035-003
2016· other· en· Data Planet
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About