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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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Research and Practice in Thrombosis and Haemostasis
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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.

affaffiliation
fundfunder
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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.

457 results · 1 filter active ·
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20172025
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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.
457 works in the cohort · of 4,299,418page 3 of 10

Labels cover 0 of 457 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 457 of 457 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.

affunlabeled
Early career professionals: A challenging road
Ketan Kulkarni, Joshua Muia, Yacine Boulaftali, Marc Blondon, Mandy N. Lauw
2018· article· en· Research and Practice in Thrombosis and Haemostasis· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
11
citations
afffundunlabeled
Bleeding is increased in amyloid precursor protein knockout mouse
Nima Mazinani, Amy W. Strilchuk, James R. Baylis, Woosuk S. Hur, Wilfred A. Jefferies, Christian J. Kastrup
2020· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
T2 mapping magnetic resonance imaging of cartilage in hemophilia
Benjamin Brakel, Marshall S. Sussman, Haris Majeed, Jerry Teitel, Carina Man, Tammy Rayner +4 more
2023· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Association of laboratory test results with the bleeding history in patients with inherited platelet function disorders (the Bleeding Assesment Tool - LABoratory tests substudy): communication from the Platelet Physiology ISTH-SSC
Paolo Gresele, Emanuela Falcinelli, Loredana Bury, Marie‐Christine Alessi, Giuseppe Guglielmini, Céline Falaise +11 more
2023· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
F8/F9 variants in the population-based PedNet Registry cohort compared with locus-specific genetic databases of the European Association for Haemophilia and Allied Disorders and the Centers for Disease Control and Prevention Hemophilia A or Hemophilia B Mutation Project
Veerle Labarque, Maria Elisa Mancuso, Mutlu Kartal‐Kaess, Rolf Ljung, Torben Stamm Mikkelsen, Nadine G. Andersson
2023· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Human platelets contain a pool of free zinc in dense granules
Walter H.A. Kahr, Sara J. Henderson, Fred G. Pluthero, Harry F.G. Heijnen, Nima Vaezzadeh, Alan R. Stafford +2 more
2024· article· en· Research and Practice in Thrombosis and Haemostasis· Nursing
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Academic bullying in science and medicine: the need for reform
Pauline Manuel, Grace H. Tang, Angela C. Weyand, Paula James, Michelle Sholzberg
2023· editorial· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
8
citations

How this was built: Screen · Findings · About