MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Year range
→
Sort
Language
Type
Field
Venue
Topic
Software Reliability and Analysis Research
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.

333 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.
333 works in the cohort · of 4,299,418page 6 of 7

Labels cover 0 of 333 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 333 of 333 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Scenario Based Analysis Procedure Guide V4.
2020· paratext· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Perspectives on AI-ML Safety Assurance
2024· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Collision Efficiency
2016· dataset· en· IUPAC Standards Online· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
MSP_F_100_NFL_4_3.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Reliability and Quality Assurance of M&S
2023· book-chapter· en· Simulation foundations, methods and applications· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Software, hardware short takes
2019· article· en· Oil IT Journal.· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
MSP_F_20_NFL_4_40.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_1.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_17.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_12.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
E-Rettungswagen voraussichtlich bereits 2023 im Einsatz
2022· article· de· Schweizerische Ärztezeitung· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · open_science+insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_48.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_20_NFL_4_10.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_46.xlsx
2020· dataset· pt· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Preface
2003· article· en· Electronic Notes in Theoretical Computer Science· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
MSP_F_100_NFL_4_40.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueunlabeled
Problems With COTS Software: A Case Study
2013· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
distilled prediction:candidate · metaresearch+scholarly_communicationconsensus · none
0
citations
affunlabeled
MSP_F_100_NFL_4_5.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affno abstractunlabeled
Availability, Reliability and Security
2025· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
MSP_F_20_NFL_4_16.xlsx
2020· dataset· pt· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_16.xlsx
2020· dataset· pt· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_23.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_39.xlsx
2020· dataset· tl· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+research_integrity+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_11.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_12.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_100_NFL_4_32.xlsx
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
← previousnext →

How this was built: Screen · Findings · About