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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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Research on scale insects
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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
fundfunder
venuejournal
aboutaboutness

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

172 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.
172 works in the cohort · of 4,299,418page 1 of 4

Labels cover 0 of 172 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 172 of 172 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
Pest categorisation of Xylotrechus chinensis
Claude Bragard, Paula Baptista, Elisavet Chatzivassiliou, Francesco Di Serio, Paolo Gonthier, Josep Anton Jaques Miret +18 more
2021· article· de· EFSA Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Pest categorisation of Maconellicoccus hirsutus
Claude Bragard, Paula Baptista, Elisavet Chatzivassiliou, Francesco Di Serio, Paolo Gonthier, Josep Anton Jaques Miret +20 more
2022· article· fr· EFSA Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Pest categorisation of Arrhenodes minutus
Claude Bragard, Katharina Dehnen‐Schmutz, Francesco Di Serio, Paolo Gonthier, Marie‐Agnès Jacques, Josep Anton Jaques Miret +15 more
2019· article· lt· EFSA Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Mulberry (Morus nigra L., Moraceae) Hosting Scale Insects Crypticerya brasiliensis (Hempel, 1900) (Hemiptera: Monophlebidae) and Pseudaulacaspis pentagona (Targioni-Tozzetti, 1886) (Hemiptera: Diaspididae) in the Federal District, Brazil
Marcelo Tavares de Castro, Sandro Coelho Linhares Montalvão, Ana Lúcia Benfatti Gonzalez Peronti, Vera Regina dos Santos Wolff, R. G. Monnerat
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Maple Leaf Foods, Inc. (A)
Jeffrey Gandz
2017· book-chapter· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
10.51847/4L2F579
2000· article· en· Time to knit· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
aboutno affunlabeled
Capital social ethnique et entrepreneuriat
2013· article· fr· OpenEdition (OpenEdition)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Dentifibula ceylanica Felt 1915
2022· article· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Phenacoccus solani
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About