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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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Food Drying and Modeling
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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.

454 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.
454 works in the cohort · of 4,299,418page 1 of 10

Labels cover 0 of 454 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 454 of 454 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.

aboutno affunlabeled
Proceedings of 21th International Drying Symposium
Juan A. Cárcel, G. Clemente, J.V. García‐Pérez, A. Mulet, Carmen Rosselló
2018· paratext· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
183
citations
affunlabeled
Food Processing
Hosahalli S. Ramaswamy, Michèle Marcotte
2005· book· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
164
citations
affno abstractunlabeled
Microwave drying of a low-rank sub-bituminous coal
C.A. Pickles, Feng Gao, Ş. Kelebek
2013· article· en· Minerals Engineering· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
137
citations
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
afffundno abstractunlabeled
Temperature and power control in microwave drying
Zhenfeng Li, G. S. V. Raghavan, Valérie Orsat
2009· article· en· Journal of Food Engineering· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
96
citations
affno abstractunlabeled
Thin-layer drying of spent grains in superheated steam
Zhongwei Tang, Stefan Cenkowski, Marta S. Izydorczyk
2004· article· en· Journal of Food Engineering· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
89
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
affno abstractunlabeled
Sorption Isotherms of Tomato Slices and Onion Shreds
R. Viswanathan, Digvir S. Jayas, R. Hulasare
2003· article· en· Biosystems Engineering· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
61
citations

How this was built: Screen · Findings · About