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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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Drying Technology
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

223 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.
223 works in the cohort · of 4,299,418page 1 of 5

Labels cover 0 of 223 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 223 of 223 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.

affunlabeled
Drying Foodstuffs with Superheated Steam
C. Pronyk, Stefan Cenkowski, W. E. Muir
2004· article· en· Drying Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
119
citations
affunlabeled
Drying technologies for edible insects and their derived ingredients
Alan Javier Hernández‐Álvarez, Martin Mondor, Irving-Alejandro Piña-Domínguez, Oscar Abel Sánchez‐Velázquez, Guiomar Melgar‐Lalanne
2021· article· en· Drying Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
102
citations
affunlabeled
Machine learning in drying
Alex Martynenko, N.N. Misra
2019· article· en· Drying Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
86
citations
affunlabeled
Energy Performance of Convective Dryers
Tadeusz Kudra
2012· article· en· Drying Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
Insect processing for food and feed: A review of drying methods
Oleksii Parniakov, Maryna Mikhrovska, Artur Wiktor, Martina Comiotto Alles, Dusan Ristic, Radosław Bogusz +5 more
2021· review· en· Drying Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
51
citations
affunlabeled
Application of fuzzy logic in drying: A review
Soleiman Hosseinpour, Alex Martynenko
2020· review· en· Drying Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
36
citations
afffundaboutunlabeled
Microwave-Assisted Thin Layer Drying of Wheat
Mohamed Hemis, C. B. Singh, Digvir S. Jayas
2011· article· en· Drying Technology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Optimization of the process of drying of corn seeds with the use of microwaves
Rute Quelvia de Fária, Amanda Rithieli Pereira dos Santos, Yvan Gariépy, Edvaldo Aparecido Amaral da Silva, Maria Márcia Pereira Sartori, Vijaya Raghavan
2019· article· en· Drying Technology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
34
citations

How this was built: Screen · Findings · About