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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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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.

8,849 results · 1 filter active ·
Results by year
20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
8,849 works in the cohort · of 4,299,418page 87 of 177

Labels cover 31 of 8,849 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 8,849 of 8,849 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
blc20150725_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ddAle_Ott_20170728_08099500.mat
Taylor Cameron
2020· dataset· fr· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
UK Parties.tab
Clayton Webb, Suzanna Linn, Matthew Lebo
2019· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ykc20161104_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
mea20160927_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
cbb20170711_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
cbb20170414_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
cbb20161212_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
2009JE003334-readme.txt
Elizabeth A. Silber
2019· dataset· en· Harvard Dataverse· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
blc20150501_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Herbicides_utilises_vf.xlsx
Frank Place, Christophe Kouamé, Shayna Harris, Juan Carlos Motamayor, Martin Gilmour, Ermias Aynekulu
2013· dataset· en· Harvard Dataverse· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
blc20150315_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
blc20150831_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
snk20170817_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2002.199.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ddAle_Ott_20140530_06928500.mat
Taylor Cameron
2020· dataset· fr· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ddAle_Ott_20140105_06928500.mat
Taylor Cameron
2020· dataset· fr· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ddAle_Ott_20140102_14364400.mat
Taylor Cameron
2020· dataset· fr· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
blc20150131_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ott20150302_03.txt.gz
Robyn Fiori
2021· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
mcmu20120508_03.txt.gz
Robyn Fiori
2021· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
FCC2001.261.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
FCC2003.158.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
blc20150321_03.txt
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
FCC2002.328.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
grades.tab
Matthieu Chemin
2018· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Senate-07.tab
Jean‐François Godbout
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
657163_4_S1C(RGB).tif
Ann Ram
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
18_distance.do
Kristian Behrens, Mark J. Brown, Théophile Bougna
2018· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
figure4_house.bug
Gyung‐Ho Jeong
2019· dataset· fa· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ykc20170330_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
FCC2002.255.ran
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
snk20170705_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
blc20150704_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
mea20151020_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ddAle_Ott_20160616_08099500.mat
Taylor Cameron
2020· dataset· fr· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
cbb20150407_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
p18.arff
Navid Shekoufa, Javad Rahimipour Anaraki, Saeed Samet
2019· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
blc20160329_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
snk20160623_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
cbb20150130_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
blc20150126_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
blc20150311_03.txt.gz
Robyn Fiori
2021· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
cbb20150716_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
cbb20150411_03.txt.gz
Robyn Fiori
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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