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
Topic
Astrophysics and Cosmic Phenomena
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.

1,977 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.
1,977 works in the cohort · of 4,299,418page 35 of 40

Labels cover 1 of 1,977 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 1,977 of 1,977 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.

affno abstractunlabeled
Author Correction: The Pacific Ocean Neutrino Experiment
M. Agostini, M. Böhmer, Jeff Bosma, Kenneth Clark, M. Danninger, C. Fruck +29 more
2020· article· en· Nature Astronomy· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Correlations in the (Sub)Mil1imeter Background from ACT x BLAST
Amir Hajian, Nicholas Battaglia, James J. Bock, J. Richard Bond, Michael R. Nolta, Jonathan Sievers +1 more
2011· article· en· NASA Technical Reports Server (NASA)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Pacific Ocean Neutrino Experiment
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Pacific Ocean Neutrino Experiment
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Simulation and sensitivities for a phased IceCube-Gen2 deployment
Brian Clark, Rasha Abbasi, M. Ackermann, Jenni Adams, Juanan Aguilar, M. Ahlers +408 more
2022· preprint· en· Repository KITopen (Karlsruhe Institute of Technology)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
IceCube's Long Term Archive Software
Patrick Meade, Benedikt Riedel, David Schultz
2019· article· en· Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Neutrino Mass Terms
S. M. Bilenky
2018· book-chapter· en· Lecture notes in physics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Citizen Science for IceCube: Name that Neutrino
M. Ackermann, J. Adams, Sanjib Kumar Agarwalla, J. A. Aguilar, M. Ahlers, Jean-Marco Alameddine +401 more
2024· preprint· en· arXiv (Cornell University)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About