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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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Engineering Applied Research
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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.

464 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.
464 works in the cohort · of 4,299,418page 7 of 10

Labels cover 0 of 464 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 464 of 464 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
ASEM 빌딩의 빙축열 설비 시공사례
하헌우, 류구영, 남임우, Bong Chul Chung
2000· article· ko· 대한설비공학회 강연회 및 기타간행물· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
핵연료 조사시험용 압력용기의 제작
박국남, 이종민, 심봉식, 안성호, 유성연
2007· article· ko· 한국기계기술학회지· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
IRRODL Volume 14, Number 2
Various Authors
2013· article· en· The International Review of Research in Open and Distributed Learning· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Figure2_3_code.R
Gyung‐Ho Jeong
2019· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Test Portion (Analytical Portion)
Gerald R. Stephenson, Ian G. Ferris, Patrick T. Holland, Monica Nordberg
2016· dataset· en· IUPAC Standards Online· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Incorrect Test Characteristic
2016· article· en· JAMA· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
LabVIEW 활용 Solarwall Control System 개발
강은철, 주문창
2002· article· ko· 한국태양에너지학회 학술대회논문집· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(09)70197-1
2000· article· en· Time to knit· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
R134a 터보냉동기 적용 빙축열 시스템
하헌우, 류구영, 남임우, Bong Chul Chung
2000· article· ko· 공기조화냉동공학회 하계학술발표회 논문집· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
2.10.4 SUBMERGED COMBUSTION
Igor Pioro, L. S. Pioro
2005· article· en· Heat Exchanger Design Updates· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
SER17 LEO E-W 25K SMOOTH.tab
Brandon Pinkney
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About