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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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Best Practice & Research Clinical Haematology
Topic
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.

47 results · 1 filter active ·
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20002024
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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.
47 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 47 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 47 of 47 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
Transformation of follicular lymphoma
Izidore S. Lossos, Randy D. Gascoyne
2011· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
169
citations
affno abstractunlabeled
Management of relapsed/refractory DLBCL
Clémentine Sarkozy, Laurie H. Sehn
2018· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
142
citations
affno abstractunlabeled
The management of alloimmune neonatal thrombocytopenia
Victor S. Blanchette, Jo‐Ann Johnson, Margaret L. Rand
2000· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
106
citations
affno abstractunlabeled
Red blood cell substitutes
Thomas Ming Swi Chang
2000· review· en· Best Practice & Research Clinical Haematology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
New oral anticoagulants in elderly patients
Stefano Barco, Yuk Wah Cheung, John W. Eikelboom, Michiel Coppens
2013· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
69
citations
afffundno abstractunlabeled
Tissue factor in tumour progression
Janusz Rak, Chlöe Milsom, Nathalie Magnus, Joanne Yu
2009· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
63
citations
afffundno abstractunlabeled
Pathogenesis of follicular lymphoma
Tracy Lackraj, Rashmi S. Goswami, Robert Kridel
2017· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
54
citations
affno abstractunlabeled
Stem-cell transplantation in multiple myeloma
Jean‐Luc Harousseau, Philippe Moreau, Michel Attal, Thierry Façon, Hervé Avet‐Loiseau
2005· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Diamond–Blackfan anaemia
Melvin H. Freedman
2000· review· en· Best Practice & Research Clinical Haematology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
32
citations
affno abstractunlabeled
Gene expression profiling and multiple myeloma
John D. Shaughnessy, Fenghuang Zhan, Barthel Barlogie, A. Keith Stewart
2005· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Thrombosis and bleeding in hematological malignancy
Tzu‐Fei Wang, Avi Leader, Kristen M. Sanfilippo
2022· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
afffundno abstractunlabeled
Blood coagulation and cancer genes
Nadim Tawil, Janusz Rak
2022· review· en· Best Practice & Research Clinical Haematology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Clinical decision rules in venous thromboembolism
Grégoire Le Gal, Marc Carrier, Marc Rodger
2012· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
fundno affno abstractunlabeled
Can Ph-like ALL be effectively targeted?
Luke Maese, Elizabeth A. Raetz
2019· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
The role of registries in hematological disorders
Helen Baldomero, Daniel Neumann, Nada Hamad, Yoshiko Atsuta, Anna Sureda, Minako Iida +31 more
2024· review· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Editor's introduction
Laurie H. Sehn
2018· editorial· en· Best Practice & Research Clinical Haematology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
De Nederlandse Grondwet geëvalueerd; anker- of verdwijnpunt?
T. Barkhuysen, Антоанета Димитрова, van M.L. Emmerik, J.H. Gerards, H.M. Griffioen, M.M. Groothuis +5 more
2009· article· en· Best Practice & Research Clinical Haematology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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