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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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scientometrics and bibliometrics 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.

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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.

2,100 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.
2,100 works in the cohort · of 4,299,418page 9 of 42

Labels cover 193 of 2,100 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 2,100 of 2,100 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.

afffundunlabeled
A Typology of Scientific Advisory Committees
Gaëlle Groux, Steven J. Hoffman, Trygve Ottersen
2018· review· en· Global Challenges· Decision Sciences
machine prediction:candidate · stsconsensus · none
27
citations
affunlabeled
Ways to increase equity, diversity and inclusion
Devang Mehta, Yaw Bediako, Charlotte M. de Winde, Hedyeh Ebrahimi, Florencia Fernández-Chiappe, Vinodh Ilangovan +5 more
2020· article· en· eLife· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
26
citations
aboutno affunlabeled
Estimates of global research productivity in virology
Matthew E. Falagas, Antonia I. Karavasiou, Ioannis A. Bliziotis
2005· article· en· Journal of Medical Virology· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
25
citations
venueno affgemma · bibliometrics+metaresearchgpt · bibliometrics+metaresearchmodels agree
The funding sources of implantology research in the period 2008‐2017: A bibliometric analysis
Adolfo Alonso‐Arroyo, Beatriz Tarazona‐Álvarez, Rut Lucas-Domínguez, David Peñarrocha‐Oltra, Antonio Vidal‐Infer
2019· article· en· Clinical Implant Dentistry and Related Research· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
25
citations
affvenueaboutunlabeled
University Supports for Open Access: A Canadian National Survey
Devon Greyson, Kumiko Vézina, Heather Morrison, Donald Taylor, Charlyn Black
2010· article· en· Canadian Journal of Higher Education· Decision Sciences
machine prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · none
24
citations
venueno affunlabeled
The State of Scholarly Journal Publishing: 1981-2000
Albert N. Greco, Robert M. Wharton, Hooman Estelami, Robert Jones
2006· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
23
citations
affno abstractunlabeled
Charting a course for chemistry
Alán Aspuru‐Guzik, Mu‐Hyun Baik, Shankar Balasubramanian, Rahul Banerjee, Suzanne C. Bart, Nadine Borduas‐Dedekind +52 more
2019· article· en· Nature Chemistry· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
23
citations
aboutno affunlabeled
What Constitutes Authorship in the Social Sciences?
Gernot Pruschak
2021· article· en· Frontiers in Research Metrics and Analytics· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+research_integrityconsensus · none
23
citations
affunlabeled
Authorship Trends in Spine Publications From 2000 to 2015
Brittany E. Haws, Benjamin Khechen, Kamran Movassaghi, Kelly H. Yom, Jordan A. Guntin, Kaitlyn L. Cardinal +2 more
2018· review· en· Spine· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
23
citations
affunlabeled
Reimagining peer review as an expert elicitation process
Alexandru Marcoci, Ans Vercammen, Martin Bush, Daniel G. Hamilton, Anca M. Hanea, Victoria Hemming +3 more
2022· letter· en· BMC Research Notes· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
22
citations
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