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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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Body Contouring and Surgery
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.

339 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.
339 works in the cohort · of 4,299,418page 3 of 7

Labels cover 1 of 339 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 339 of 339 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.

affno abstractunlabeled
Noninvasive Body Contouring
Heidi Wat, Douglas C. Wu, Mitchel P. Goldman
2017· review· en· Dermatologic Clinics· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Objective quantification of liposuction results
Mirko S. Gilardino, Ann‐Sophie Lafrenière, Alex Viezel-Mathieu
2018· review· en· Journal of Cutaneous and Aesthetic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
venueno affno abstractunlabeled
10.1016/j.yprs.2014.06.012
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
11
citations
affunlabeled
Anaesthetic complications in plastic surgery
Soumya Sankar Nath, Debashis Roy, Farrukh Ansari, Sundeep T Pawar
2013· review· en· Indian Journal of Plastic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
New Frontiers in Wide-Awake Surgery
Donald H. Lalonde, M. Gruber, Amir Adham Ahmad, Martin Langer, Sarvnaz Sepehripour
2024· article· en· Plastic & Reconstructive Surgery· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Thigh Laxity After Massive Weight Loss
Ali Izadpanah, Hani Sinno, Joshua Vorstenbosch, Bernard T. Lee, Samuel J. Lin
2013· article· en· Annals of Plastic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Bio-Alcamid: An Alternative to Fat Transfer
David A.F. Ellis, Maya G. Sardesaı
2008· article· en· Facial Plastic Surgery Clinics of North America· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Safety of Fleur-de-lis Abdominoplasty after Massive Weight Loss
Joshua J. DeSerres, Tanis Quaife, Alexander Morzycki, Matthew W.T. Curran, Jonathan Toy
2020· article· en· Journal of Plastic Reconstructive & Aesthetic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Current Techniques in Fat Grafting
Shahrokh C. Bagheri, Behnam Bohluli, Elizabeth K. Consky
2017· review· en· Atlas of the Oral and Maxillofacial Surgery Clinics· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affvenueunlabeled
Liposuction Sepsis – Be Alert
Michael Bell, Geoffrey P. Doherty, Andrea Gutauskas
2009· article· en· Canadian Journal of Plastic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About