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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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Spinal Cord Injury Research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,620 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,620 works in the cohort · of 4,299,418page 61 of 73

Labels cover 17 of 3,620 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 3,620 of 3,620 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.

affvenueunlabeled
Spinal Cord Transection in a Child After Non-Penetrating Trauma
Richard Farb, David Pelz, Frederick A. Zeiler, Patrick J. McDonald
2010· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Commentary
Narihito Nagoshi, Hiroaki Nakashima, Michael G. Fehlings
2015· letter· en· Neurosurgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Letter to the Editor
Sanjeev Lalwani, Purva Mathur, Neetu Jain, Bijayini Behera, Mahesh C. Misra
2011· letter· en· Journal of Neurosurgery Spine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Bizhan Aarabi and Knowledge Development in Neurotrauma
Zahra Ghodsi, Shahriar Ghashghaei, Masoud Sohrabi, Mohammad Hosein Ranjbar Hameghavandi, Hossein Rezaei Aliabadi, Ahmad Pour‐Rashidi +3 more
2021· article· en· Archives of Iranian Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Spine and spinal cord trauma
O. Predescu, Andrew Baker
2007· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Authors Respond
Julia O. Totosy de Zepetnek, Chelsea Pelletier, Audrey L. Hicks, Maureen J. MacDonald
2015· letter· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Assessing Spinal Cord Injury
Gillian D. Muir, Erin J. Prosser-Loose
2011· book-chapter· en· Neuromethods· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Student Competition (Technology Innovation) ID 1986855
Ramin Fathian, Aminreza Khandan, Chester Ho, Hossein Rouhani
2023· article· en· Topics in Spinal Cord Injury Rehabilitation· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.yhls.2014.03.066
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About