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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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Socio-Environmental Systems 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
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.

500 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.
500 works in the cohort · of 4,299,418page 2 of 10

Labels cover 1 of 500 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 500 of 500 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
Economische aspecten pulsvisserij
J.A.E. van Oostenbrugge, Arie Mol, A.J. Klok, J.B.M. op de Weegh, Geert Hoekstra
2018· article· nl· Socio-Environmental Systems Modeling· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Bluetonguevirus serotype 8 in jonge gezonde kalveren
L. van Wuijckhuise, P. Vellema, W. Pelgrim, R K Tolboom, H.A. Mulder, Piet A. van Rijn
2008· article· nl· Socio-Environmental Systems Modeling· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Cod monitoring: Results 2014, quarter 1
K.J. van der Reijden, M.A.M. Machiels, Marloes Kraan
2015· article· en· Socio-Environmental Systems Modeling· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Barometer Duurzame landbouw Noord-Brabant
G.S. Venema, M.A. Dolman, A.B. Smit, G.D. Jukema, J.H. Wisman, J.H. Jager
2019· article· nl· Socio-Environmental Systems Modeling· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Mogelijkheden voor isolatie van fyto-oestrogenen
K. Swallow, B. Langelaan, C. Zondervan, H. de Jonge, Harry J. Wichers, C. Soler Rivas
2000· article· nl· Socio-Environmental Systems Modeling· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Mot Duponchelia zit in de val
P. van Deventer, F.C. Griepink
2006· article· nl· Socio-Environmental Systems Modeling· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Gewasbescherming in aardappelteelt
2025· other· nl· Socio-Environmental Systems Modeling
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Locomotion Data Breed4Food: Educational Files
Dirkjan Schokker, Ioannis N. Athanasiadis, B.W. Ongerboer de Visser, R.F. Veerkamp, C. Kamphuis
2020· dataset· en· Socio-Environmental Systems Modeling· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About