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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.

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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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Marine animal studies overview
Retraction
Abstract
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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
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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.

4,737 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,737 works in the cohort · of 4,299,418page 85 of 95

Labels cover 4 of 4,737 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 4,737 of 4,737 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.

affno abstractunlabeled
Noise pollution and conservation
Dylan Gomes, Henrik Brumm, Andrew G. Horn
2025· book-chapter· en· Elsevier eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A__1__20170511_053556.wav
Branko Hilje, Shauna Stack, Arturo Sánchez‐Azofeifa
2019· dataset· hi· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)84416-5
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)80694-6
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)80543-1
James E. McKenna
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
A__1__20170509_054456.wav
Branko Hilje, Shauna Stack, Arturo Sánchez‐Azofeifa
2019· dataset· hi· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(93)95110-r
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)81181-7
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(93)93873-p
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Neovison macrodon
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
10.1121/10.0001071.1
Amalis Riera, Rodney A. Rountree, Lucas Agagnier, Francis Juanes
2020· dataset· en· Default Digital Object Group· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Incidental Capture of Pinnipeds
2007· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(94)91195-9
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
A__1__20170509_185656.wav
Branko Hilje, Shauna Stack, Arturo Sánchez‐Azofeifa
2019· dataset· hi· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
jhpoelen/eol-globi-data v0.9.22
2018· other· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Balaena mysticetus Linnaeus 1758
2014· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(95)90538-a
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)86265-0
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(94)93655-2
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
A__1__20170509_161156.wav
Branko Hilje, Shauna Stack, Arturo Sánchez‐Azofeifa
2019· dataset· hi· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
A__1__20170509_180156.wav
Branko Hilje, Shauna Stack, Arturo Sánchez‐Azofeifa
2019· dataset· hi· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Pagophilus groenlandicus
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Capelin: a key Arctic species on the move
Christophe Pampoulie, Gail Davoren, Susana Garrido, Brian R. MacKenzie, Aril Slotte
2025· article· en· Reviews in Fish Biology and Fisheries· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)89581-6
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Analysis of systematic source level measurements of small vessels
Jennifer Wladichuk, David Hannay, Alexander O. MacGillivray, Zizheng Li, Sheila J. Thornton
2019· article· en· The Journal of the Acoustical Society of America· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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