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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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Soil Moisture and Remote Sensing
Retraction
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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.

1,129 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.
1,129 works in the cohort · of 4,299,418page 7 of 23

Labels cover 2 of 1,129 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 1,129 of 1,129 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Impact of temporal variations in vegetation optical depth and vegetation temperature on L-band passive soil moisture retrievals over a tropical forest using <i>in-situ</i> information
Alejandro Monsiváis-Huertero, Juan Carlos Hernández-Sánchez, José Carlos Jiménez-Escalona, J. Mauricio Galeana-Pizaña, Daniel Enrique Constantino-Recillas, Aura Citlalli Torres-Gómez +3 more
2019· article· en· International Journal of Remote Sensing· Environmental Science
distilled prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Soil Moisture Retrievals Using Optical/TIR Methods
Parinaz Rahimzadeh-Bajgiran, Aaron Berg
2016· book-chapter· en· Elsevier eBooks· Environmental Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
12
citations
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How this was built: Screen · Findings · About