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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.

affaffiliation
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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 ·
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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.
8,849 works in the cohort · of 4,299,418page 141 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.

aboutno affunlabeled
Petition of Thomas Waban
Massachusetts Archives Digital Archive Of Native American Petitions
2018· dataset· en· Harvard Dataverse· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Petition of Ephraim Williams
Massachusetts Archives Digital Archive Of Native American Petitions
2018· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Petition of Isaac Rice
Massachusetts Archives Digital Archive Of Native American Petitions
2018· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Petition of Joseph Curtis
Massachusetts Archives Digital Archive Of Native American Petitions
2018· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Modified F75_Readme.txt
James A. Berkley, Robert Bandsma, Moses M. Ngari
2019· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
readme.pdf
Abhijit Banerjee, Rukmini Banerji, Esther Duflo, Harini Kannan, Shobhini Mukerji, Marc Shotland +2 more
2018· dataset· mr· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
SantaRosa_dataverse.tab
Birgitta Putzenlechner, Philip Marzahn, Arturo Sánchez‐Azofeifa
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
opioids_news_data_final.tab
Lisa Matthias, Alice Fleerackers, Asura Enkhbayar, Juan Pablo Alperín
2019· dataset· en· Harvard Dataverse· Neuroscience
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affgemma · no categorygpt · no categorymodels agree
Replication Data for: Crop wild relatives of pigeonpea [Cajanus cajan (L.) Millsp.]: Distributions, ex situ conservation status, and potential genetic resources for abiotic stress tolerance
Colin K. Khoury, Nora P Castañeda Álvarez, Harold Achicanoy, Chrystian C Sosa, Vivian Bernau, Mulualem T. Kassa +6 more
2015· dataset· en· Harvard Dataverse· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Graswang_dataverse.tab
Birgitta Putzenlechner, Philip Marzahn, Arturo Sánchez‐Azofeifa
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
files-pane.pper
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
all_1Dpspec_spire250_orig.pdf
Eric W. Koch
2019· dataset· en· Harvard Dataverse· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
all_1Dpspec_spire350_orig.pdf
Eric W. Koch
2019· dataset· en· Harvard Dataverse· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
siteC2HSI_hyperspectral.tif
Xu Yuan, Kati Laakso, Chad Daniel Davis, J. Antonio Guzmán Q., Qinglin Meng, Arturo Sánchez‐Azofeifa
2020· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
all_1Dpspec_coldens.pdf
Eric W. Koch
2019· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
all_1Dpspec_mips24_orig.pdf
Eric W. Koch
2019· dataset· en· Harvard Dataverse· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ReadMe.rtf
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
update.sample
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
19B244D2
Lucas Leemann, Leonardo Baccini
2020· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Tenebrionidae Workshop 2021 Course Lectures
Kojun Kanda, M. Andrew Johnston, Patrice Bouchard, Marcin Jan Kamiński, Paloma Mas‐Peinado, Aaron D. Smith +1 more
2021· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AddFile4_DataMatrices.rar
Tiago R. Simões, Michael W. Caldwell, Stephanie E. Pierce
2020· dataset· en· Harvard Dataverse· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
siteC2_multispectral.TIF
Xu Yuan, Kati Laakso, Chad Daniel Davis, J. Antonio Guzmán Q., Qinglin Meng, Arturo Sánchez‐Azofeifa
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Ballon d'Or Results - POP.tab
Christopher J. Anderson, Luc Arrondel, André Blais, Jean‐François Daoust, Jean‐François Laslier, Karine Van der Straeten
2019· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
siteB1_multispectral.TIF
Xu Yuan, Kati Laakso, Chad Daniel Davis, J. Antonio Guzmán Q., Qinglin Meng, Arturo Sánchez‐Azofeifa
2020· dataset· en· Harvard Dataverse· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
NDVI towers data.tab
J. Antonio Guzmán Q., Arturo Sánchez‐Azofeifa, Espírito-Santo Mário M.
2019· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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