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
Journal of the Robotics Society of Japan
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.

28 results · 1 filter active ·
Results by year
20002025
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.
28 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 28 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 28 of 28 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.

fundno affno abstractunlabeled
[no title]
Shuuji Kajita
2002· article· Journal of the Robotics Society of Japan· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
27
citations
fundno affno abstractunlabeled
Electroactive Polymer Artificial Muscle
Seiki Chiba, Scott Stanford, Ron Pelrine, Roy Kornbluh, Harsha Prahlad
2006· article· en· Journal of the Robotics Society of Japan· Engineering
machine prediction:candidate · noneconsensus · none
24
citations
fundno affunlabeled
Running Pattern Generation for a Humanoid Robot
T. Nagasaki, Shuuji Kajita, Kazuhito Yokoi, Kenji Kaneko, Hirohisa Hirukawa, K. Tanie
2003· article· en· Journal of the Robotics Society of Japan· Engineering
machine prediction:candidate · noneconsensus · none
11
citations
fundno affno abstractunlabeled
[no title]
Hirochika Inoue, Satoshi Kagami
2002· article· Journal of the Robotics Society of Japan· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
fundno affno abstractunlabeled
[no title]
Kazuo Ishii, Teruo Fujii, Tamaki Ura
2004· article· Journal of the Robotics Society of Japan· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
fundno affunlabeled
Representation of Drawing Behavior by a Robot
Shunsuke Kudoh, Koichi Ogawara, Miti Ruchanurucks, Jun Takamatsu, Katsushi Ikeuchi
2008· article· en· Journal of the Robotics Society of Japan· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Grasping Grasping in GRASP
Danica Kragić
2013· article· en· Journal of the Robotics Society of Japan· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
[no title]
Kiyoyuki Chinzei
2007· article· Journal of the Robotics Society of Japan· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About