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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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Economic and Environmental Valuation
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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.

1,880 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.
1,880 works in the cohort · of 4,299,418page 36 of 38

Labels cover 5 of 1,880 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 1,880 of 1,880 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
SEA of Parks Canada Management Plans
Suzanne Therrien-Richards
2024· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Fundamental Concepts
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· en· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Review: Fish: Water Resources Planning and Management, Handbook on Multi-Level Governance, Climate Change Policies: Global Challenges and Future Prospects, Polluted and Dangerous: America's Worst Abandoned Properties and What Can Be Done about Them, the International Handbook on Non-Market Environmental Valuation
Richard Morgan, Rong Zheng, Achim Hurrelmann, Alessandro Tavoni, Thomas J. Vicino, Timothy Laing
2012· article· en· Environment and Planning C Government and Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Rosa arvensis Huds.
2014· article· en· Zenodo (CERN European Organization for Nuclear Research)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Optimal Learning and Management of Threatened Species
Jue Wang, Xueze Song, Roozbeh Yousefi, Zhigang Jiang
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Scaling of Preferential Choice
Ulf Böckenholt
2014· other· en· Wiley StatsRef: Statistics Reference Online· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.3917/reco.pr2.i
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
An Empirical Study of Road-Noise Barriers Deployment
Bernard Sinclair‐Désgagné, Ekaterina Turkina
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Behavioral Insights from Choice Models
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· en· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Pleurotrocha sigmoidea Skorikov 1896
2009· article· en· Zenodo (CERN European Organization for Nuclear Research)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
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