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Record W4386944495 · doi:10.1111/bjh.19085

In Memoriam Robert <scp>McMillan</scp>

2023· article· en· W4386944495 on OpenAlexaffabout
Paul Imbach, John W. Semple

Bibliographic record

VenueBritish Journal of Haematology · 2023
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCitationLibrary scienceTributeMedicineClassicsLawHistoryComputer sciencePolitical science

Abstract

fetched live from OpenAlex

British Journal of HaematologyVolume 203, Issue 1 p. 136-139 TRIBUTE In Memoriam Robert McMillan Paul Imbach, Corresponding Author Paul Imbach [email protected] orcid.org/0000-0003-1990-8118 University of Basel, Basel, Switzerland University Children's Hospital Basel, Basel, Switzerland Correspondence Paul Imbach, University of Basel, Basel, Switzerland. Email: [email protected]Search for more papers by this authorJohn W. Semple, John W. Semple Division of Hematology and Transfusion Medicine, Lund University, Lund, Sweden Department of Pharmacology, University of Toronto, Toronto, CanadaSearch for more papers by this author Paul Imbach, Corresponding Author Paul Imbach [email protected] orcid.org/0000-0003-1990-8118 University of Basel, Basel, Switzerland University Children's Hospital Basel, Basel, Switzerland Correspondence Paul Imbach, University of Basel, Basel, Switzerland. Email: [email protected]Search for more papers by this authorJohn W. Semple, John W. Semple Division of Hematology and Transfusion Medicine, Lund University, Lund, Sweden Department of Pharmacology, University of Toronto, Toronto, CanadaSearch for more papers by this author First published: 21 September 2023 https://doi.org/10.1111/bjh.19085Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat REFERENCES 1McMillan R. The pathogenesis of chronic immune thrombocytopenic purpura. Semin Hematol. 2007; 44(4 Suppl 5): S3–S11. 2McMillan R, Tani P, Millard F, Berchtold P, Renshaw L, Woods VL Jr. Platelet-associated and plasma anti-glycoprotein autoantibodies in chronic ITP. Blood. 1987; 70: 1040–1045. 3McMillan R, Wang L, Tomer A, Nichol J, Pistillo J. Suppression of in vitro megakaryocyte production by antiplatelet autoantibodies from adult patients with chronic ITP. Blood. 2004; 103(4): 1364–1369. 4Imbach P, Barandun S, d'Apuzzo V, Baumgartner C, Hirt A, Morell A, et al. High-dose intravenous gammaglobulin for idiopathic thrombocytopenic purpura in childhood. Lancet. 1981; 317: 1228–1231. 5Imbach P, Tani P, Berchtold W, Blanchette V, Burek-Kozlowska A, Gerber H, et al. Different forms of chronic childhood immune thrombocytopenic purpura defined by antiplatelet autoantibodies. J Pediatr. 1991; 118: 535–539. 6McMillan R, Longmire RL, Yelenosky R, Smith RS, Craddock CG. Immunoglobulin synthesis in vitro by splenic tissue in idiopathic thrombocytopenic purpura. N Engl J Med. 1972; 286(13): 681–684. 7Karpatkin S, Strick N, Siskind GW. Detection of splenic anti-platelet antibody synthesis in idiopathic autoimmune thrombocytopenic purpura (ATP). Br J Haematol. 1972; 23(2): 167–176. 8Semple JW, Freedman J. Increased antiplatelet T helper lymphocyte reactivity in patients with autoimmune thrombocytopenia. Blood. 1991; 78(10): 2619–2625. Volume203, Issue1Special Issue: REFRACTORY IMMUNE THROMBOCYTOPENIC PURPURAOctober 2023Pages 136-139 ReferencesRelatedInformation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.119
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0030.002
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.1190.097

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.272
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes2
Has abstractyes

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