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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.

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Frontiers in Artificial Intelligence
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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
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

139 results · 1 filter active ·
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20192025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
139 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 139 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 139 of 139 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
AI Technologies, Privacy, and Security
David Elliott, Eldon Soifer
2022· article· en· Frontiers in Artificial Intelligence· Social Sciences
distilled prediction:candidate · noneconsensus · none
158
citations
fundno affunlabeled
Poultry diseases diagnostics models using deep learning
Dina Machuve, Ezinne Nwankwo, Neema Mduma, Jimmy Mbelwa
2022· article· en· Frontiers in Artificial Intelligence· Immunology and Microbiology
distilled prediction:candidate · insufficient_payloadconsensus · none
90
citations
affunlabeled
Specific challenges posed by artificial intelligence in research ethics
Sarah Bouhouita-Guermech, Patrick Gogognon, Jean‐Christophe Bélisle‐Pipon
2023· review· en· Frontiers in Artificial Intelligence· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · research_integrity
85
citations
afffundunlabeled
What Makes Artificial Intelligence Exceptional in Health Technology Assessment?
Jean‐Christophe Bélisle‐Pipon, Vincent Couture, Marie‐Christine Roy, Isabelle Ganache, Mireille Goetghebeur, I. Glenn Cohen
2021· review· en· Frontiers in Artificial Intelligence· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · research_integrity
70
citations
afffundunlabeled
Explainable deep learning in plant phenotyping
Sakib Mostafa, Debajyoti Mondal, Karim Panjvani, Leon V. Kochian, Ian Stavness
2023· review· en· Frontiers in Artificial Intelligence· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
67
citations
afffundunlabeled
Generative Models of Brain Dynamics
Mahta Ramezanian-Panahi, Germán Abrevaya, Jean-Christophe Gagnon-Audet, Vikram Voleti, Irina Rish, Guillaume Dumas
2022· review· en· Frontiers in Artificial Intelligence· Neuroscience
distilled prediction:candidate · metaepi_narrowconsensus · none
42
citations
afffundunlabeled
Ethics dumping in artificial intelligence
Jean‐Christophe Bélisle‐Pipon, Gavin Victor
2024· article· en· Frontiers in Artificial Intelligence· Social Sciences
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
21
citations
aboutno affunlabeled
Editorial: Generative AI in education
Diego Zapata‐Rivera, Ilaria Torre, Chien‐Sing Lee, Antonio Sarasa Cabezuelo, Ioana Ghergulescu, Paul Libbrecht
2024· editorial· en· Frontiers in Artificial Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
18
citations

How this was built: Screen · Findings · About