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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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Dental Research and COVID-19
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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.

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.

609 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
609 works in the cohort · of 4,299,418page 3 of 13

Labels cover 7 of 609 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 609 of 609 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affgemma · no categorygpt · no categorymodels split
Aerosol generated by dental procedures: A scoping review
Marina Tavares Costa Nóbrega, Renata Travassos da Rosa Moreira Bastos, Paulo Mecenas, Isabela Porto de Toledo, Ronna Richardson‐Lozano, Khaled Altabtbaei +1 more
2021· review· en· Journal of Evidence-Based Medicine· Dentistry
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · none
17
citations
affaboutunlabeled
RoboEthics in COVID-19: A Case Study in Dentistry
Yaser Maddahi, Maryam Kalvandi, Sofya Langman, Nicole Capicotto, Kourosh Zareinia
2021· article· en· Frontiers in Robotics and AI· Dentistry
distilled prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
Computer and Internet usage by Canadian dentists.
Carlos Flores‐Mir, Neal G. Palmer, Herbert C. Northcott, Carolyn Huston, Paul W. Major
2006· article· en· PubMed· Dentistry
distilled prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Surface roughness of restorative materials after immersion in mouthwashes
Lauren Bohner, Ana Paula Terossi de Godoi, Ahad S. Ahmed, Pedro Tortamano Neto, Alma Blásida Concepción Elizaur Benitez Catirse
2016· article· en· European Journal of General Dentistry· Dentistry
distilled prediction:candidate · insufficient_payloadconsensus · none
15
citations
affunlabeled
AI-enabled virtual reality systems for dental education
Kashif Adnan, Fahimullah, Umair Farrukh, Hassn Askari, Saima Siddiqui, Jameel Ra
2023· article· en· International Journal of Health Sciences· Dentistry
distilled prediction:candidate · noneconsensus · none
12
citations
venueno affunlabeled
Impact of a Tutored Theoretical-Practical Training to Develop Undergraduate Students’ Skills for the Detection of Caries Lesions: Study Protocol for a Multicenter Controlled Randomized Study
Mariana Minatel Braga, Tathiane Larissa Lenzi, Fernanda Rosche Ferreira, Fausto Medeiros Mendes, Daniela Prócida Raggio, José Carlos Pettorossi Imparato +27 more
2017· article· en· JMIR Research Protocols· Dentistry
distilled prediction:candidate · metaresearch+sts+scholarly_communicationconsensus · none
12
citations
affaboutunlabeled
Virtual Care in Rhinology
Kristine A. Smith, Andrew Thamboo, Yvonne Chan, Christopher J. Chin, Megan Werger, Brian Rotenberg
2021· article· en· Journal of Otolaryngology - Head and Neck Surgery· Dentistry
distilled prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About