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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.

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.

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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.

923 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.
923 works in the cohort · of 4,299,418page 10 of 19

Labels cover 923 of 923 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 923 of 923 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 affgemma · bibliometrics+metaresearchgpt · bibliometrics+metaresearchmodels agree
Orthopedic research productivity of KSA: First bibliometric analysis
Abdulaziz Z. Alomar, Nouf Altwaijri, Khalid I. Khoshhal
2024· article· en· Journal of Taibah University Medical Sciences· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
3
citations
aboutno affgemma · bibliometricsgpt · bibliometricsmodels split
Responses of Pine and Oak Species to Drought: A Bibliometric Analysis
Tong Li, Surendra P. Singh, Ripu Daman Singh, Lizhen Cui, Rajiv Pandey
2025· article· en· International Journal of Ecology and Environmental Sciences· Environmental Science
machine prediction:candidate · bibliometricsconsensus · none
3
citations
venueno affgemma · bibliometricsgpt · bibliometricsmodels split
Plant Waste in the Production of New Materials in Brazil: A Scientometric Analysis from 19912021
Anielly M. de Melo, Brendon Orestes Batista dos Santos, Guilherme S. Ribeiro, Karine Borges Machado, Josana Peixoto, Leonardo Luíz Borges +1 more
2023· article· en· Journal of Management and Sustainability· Agricultural and Biological Sciences
machine prediction:candidate · bibliometricsconsensus · none
2
citations
affgemma · metaresearch+bibliometricsgpt · metaresearchmodels split
Over 1000 terms have been used to describe evidence synthesis: a scoping review
Danielle Pollock, Sabira Hasanoff, Timothy Hugh Barker, Barbara Clyne, Andrea C. Tricco, Andrew Booth +33 more
2025· review· en· BMJ evidence-based medicine· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
2
citations
aboutno affgemma · metaresearch+research_integritygpt · bibliometrics+scholarly_communication+research_integritymodels split
Sibling Authors Propose Bipolar Disorder Of Publishing Biomedical Research: With MEDLINE Footprint Imploding And Retraction Footprint Fudging, Can Pursuit For PubMed® Footprint Challenge Humane Human Imprinting By Physician Scientists?
Divya Gupta, Deepak Gupta
2023· article· en· Indian Journal of Community Health· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
2
citations

How this was built: Screen · Findings · About