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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.

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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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Spectroscopy and Chemometric Analyses
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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
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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.

1,277 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.
1,277 works in the cohort · of 4,299,418page 15 of 26

Labels cover 1 of 1,277 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 1,277 of 1,277 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Computer Intelligence-Based Fruit Grading: A Review
Ashoka Kumar Ratha, Nalini Kanta Barpanda, Prabira Kumar Sethy, G. Sharada, Santi Kumari Behera
2023· review· en· Revue d intelligence artificielle· Chemistry
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
5
citations
affno abstractunlabeled
Near-infrared Imaging and Spectroscopy
V. Chelladurai, Digvir S. Jayas
2014· book-chapter· en· Chemistry
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
5
citations
fundno affno abstractunlabeled
Leveraging infrared spectroscopy for cocoa content prediction: A dual approach with Kohonen neural network and multivariate modeling
Clara Mariana Gonçalves Lima, Paula Giarolla Silveira, Renata Ferreira Santana, Eugénio da Piedade Edmundo Sitoe, Renata Cristina Ferreira Bonomo, Henrique Douglas Melo Coutinho +6 more
2025· article· en· Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy· Chemistry
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affno abstractunlabeled
NIR Spectroscopy as a Tool for Quality Screening
Daniel Vázquez, P. C. Williams, B.M. Watts
2007· book-chapter· en· Developments in plant breeding· Chemistry
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
5
citations
affunlabeled
Visualization of multiscale ring formation in a rotary kiln
Lee D. Rippon, Barry Hirtz, Carl Sheehan, Travis Reinheimer, Philip D. Loewen, R. Bhushan Gopaluni
2021· article· en· Nordic Pulp & Paper Research Journal· Chemistry
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
Outlier modeling for spectral data reduction
Farnaz Agahian, Brian Funt
2014· article· en· Journal of the Optical Society of America A· Chemistry
distilled prediction:candidate · noneconsensus · none
4
citations
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