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
AI in Service Interactions
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.

638 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.
638 works in the cohort · of 4,299,418page 12 of 13

Labels cover 0 of 638 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 638 of 638 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Towards Teachable Conversational Agents
Nalin Chhibber, Edith Law
2021· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Artificial Intelligence and the Book Industry. White Paper
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSRBot: Using Bots to Answer Questions from Software Repositories
Ahmad Abdellatif, Khaled Badran, Emad Shihab
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSRBot: Using Bots to Answer Questions from Software Repositories
Ahmad Abdellatif, Emad Shihab
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSRBot: Using Bots to Answer Questions from Software Repositories
Ahmad Abdellatif, Khaled Badran, Emad Shihab
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Should you get your child an AI doll this holiday?
Sandra Chang-Kredl
2017· preprint· en· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Mind Duel: Offline AI for Structured Debates
Ratna Patil, Om Karmuse, Shivanjali Belge, Kundan Dhage, Fatima Zahra El Ansari
2025· article· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Buying a Refurbished Laser Device
Kamal Alhallak, Adel Abdulhafid, Salem Tomi, Dima Omran
2023· book-chapter· en· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About