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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 Waste Reduction and Sustainability
Retraction
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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.

530 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
530 works in the cohort · of 4,299,418page 1 of 11

Labels cover 3 of 530 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 530 of 530 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.

afffundunlabeled
Predicted growth of world urban food waste and methane production
Bijaya Adhikari, Suzelle Barrington, José Martínez
2006· article· en· Waste Management & Research The Journal for a Sustainable Circular Economy· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
179
citations
affunlabeled
The internet of things in the food supply chain: adoption challenges
Ammar Mohamed Aamer, Mohammed Ali Al‐Awlaqi, Ifadhila Affia, Silvia Sagita Arumsari, Nabeel Mandahawi
2021· article· en· Benchmarking An International Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
113
citations
afffundaboutunlabeled
Valuing the Multiple Impacts of Household Food Waste
Mike von Massow, Kate Parizeau, Monica Gallant, Mark Wickson, Jess Haines, David W.L. +3 more
2019· article· en· Frontiers in Nutrition· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
107
citations
affunlabeled
Routledge Handbook of Food Waste
Christian Reynolds, Tammara Soma, Charlotte Spring, Jordon Lazell
2020· book· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
Strategies to Reduce Food Loss in the Global South
Krishna Bahadur KC, Iftekharul Haque, Alexander Legwegoh, Evan Fraser
2016· article· en· Sustainability· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
70
citations
affunlabeled
Food cold chain management: what we know and what we deserve
Shashi Shashi, Piera Centobelli, Roberto Cerchione, Myriam Ertz
2020· article· en· Supply Chain Management An International Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Urban Food Waste generation: challenges and opportunities
Bijaya Adhikari, Suzelle Barrington, José Martínez
2009· article· en· International Journal of Environment and Waste Management· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Meat Industry 4.0: A Distant Future?
Shai Barbut
2020· article· en· Animal Frontiers· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
52
citations

How this was built: Screen · Findings · About