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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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3D Printing in Biomedical Research
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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.

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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.

1,653 results · 1 filter active ·
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20002025
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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.
1,653 works in the cohort · of 4,299,418page 6 of 34

Labels cover 0 of 1,653 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 1,653 of 1,653 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
High-throughput screening of cell responses to biomaterials
Marjo Yliperttula, Bong Geun Chung, Akshay Navaladi, Amir Manbachi, Arto Urtti
2008· review· en· European Journal of Pharmaceutical Sciences· Engineering
machine prediction:candidate · noneconsensus · none
70
citations
fundno affunlabeled
Toward Immunocompetent 3D Skin Models
Aleta Pupovac, Berna Şentürk, Chiara Griffoni, Katharina Maniura‐Weber, Markus Rottmar, Sally L. McArthur
2018· review· en· Advanced Healthcare Materials· Engineering
machine prediction:candidate · noneconsensus · none
63
citations
afffundunlabeled
3D bioprinting complex models of cancer
Ruchi Sharma, Milena Restan Perez, Victor Allisson da Silva, Jess Thomsen, Lavanya Bhardwaj, Thiago Antônio Moretti de Andrade +2 more
2023· review· en· Biomaterials Science· Engineering
machine prediction:candidate · noneconsensus · none
61
citations
affno abstractunlabeled
Medical devices on chips
Allan Guan, Parisa Hamilton, Yi Wang, Maud Gorbet, Zhenyu Li, K. Scott Phillips
2017· article· en· Nature Biomedical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
60
citations
afffundunlabeled
Engineering Organ-on-a-Chip Systems for Vascular Diseases
Amid Shakeri, Ying Wang, Yimu Zhao, Shira Landau, K. Perera, Jonguk Lee +1 more
2023· review· en· Arteriosclerosis Thrombosis and Vascular Biology· Engineering
machine prediction:candidate · noneconsensus · none
60
citations

How this was built: Screen · Findings · About