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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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Spatial and Panel Data Analysis
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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.

468 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
468 works in the cohort · of 4,299,418page 3 of 10

Labels cover 0 of 468 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 468 of 468 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.

afffundaboutunlabeled
Local-EM and the EMS Algorithm
Chun‐Po Steve Fan, James E. Stafford
2011· article· en· Journal of Computational and Graphical Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Nonparametric Panel Data Regression Models
Yiguo Sun, Yu Yvette Zhang, Qi Li
2015· book-chapter· en· Oxford University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Indirect Inference for Dynamic Panel Models
Christian Gouriéroux, Peter C.B. Phillips, Jun Yu
2006· article· en· Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Experimental Design
S. Bell
2009· book-chapter· en· Elsevier eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
To Pool or Not to Pool: Revisited
M. Hashem Pesaran, Qiankun Zhou
2017· article· en· Oxford Bulletin of Economics and Statistics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
fundno affno abstractunlabeled
A guide to estimating matching functions in spatial models
Giulia Brancaccio, Myrto Kalouptsidi, Theodore Papageorgiou
2019· article· en· International Journal of Industrial Organization· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Bootstrapping Factor-Augmented Regression Models
Śılvia Gonçalves, Benoît Perron
2012· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
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