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Record W1964014689 · doi:10.1159/000209656

Supratentorial Hemangioblastoma in the Neonatal Period

2009· article· en· W1964014689 on OpenAlexaff
Matthieu Peyre, Federico Di Rocco, Pascale Varlet, Sophie Giraud, Christian Sainte‐Rose, Stéphanie Puget

Bibliographic record

VenuePediatric Neurosurgery · 2009
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicinePeriod (music)NeurosurgeryArtSurgery

Abstract

fetched live from OpenAlex

Case Reports| March 25 2009 Supratentorial Hemangioblastoma in the Neonatal Period Subject Area: Neurology and Neuroscience , Surgery , Women's and Children's Health Matthieu Peyre; Matthieu Peyre aDepartments of Pediatric Neurosurgery, Necker Enfants Malades Hospital, and cNeurosurgery, Beaujon Hospital, Université Paris Diderot, Clichy, Search for other works by this author on: This Site PubMed Google Scholar Federico Di Rocco; Federico Di Rocco aDepartments of Pediatric Neurosurgery, Necker Enfants Malades Hospital, and Search for other works by this author on: This Site PubMed Google Scholar Pascale Varlet; Pascale Varlet bNeuropathology, Sainte-Anne Hospital, Université Paris Descartes, Paris, Search for other works by this author on: This Site PubMed Google Scholar Sophie Giraud; Sophie Giraud dGenetics, Hôtel Dieu Hospital, Lyon, and Search for other works by this author on: This Site PubMed Google Scholar Stéphane Richard; Stéphane Richard eOncogenetics, Pilot Center Rare Tumors INCa/AP-HP, Bicêtre Hospital, Le Kremlin-Bicêtre, France Search for other works by this author on: This Site PubMed Google Scholar Christian Sainte-Rose; Christian Sainte-Rose aDepartments of Pediatric Neurosurgery, Necker Enfants Malades Hospital, and Search for other works by this author on: This Site PubMed Google Scholar Stéphanie Puget Stéphanie Puget aDepartments of Pediatric Neurosurgery, Necker Enfants Malades Hospital, and Search for other works by this author on: This Site PubMed Google Scholar Pediatr Neurosurg (2009) 45 (2): 155–156. https://doi.org/10.1159/000209656 Article history Received: October 31 2008 Accepted: December 14 2008 Published Online: March 25 2009 Content Tools Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Matthieu Peyre, Federico Di Rocco, Pascale Varlet, Sophie Giraud, Stéphane Richard, Christian Sainte-Rose, Stéphanie Puget; Supratentorial Hemangioblastoma in the Neonatal Period. Pediatr Neurosurg 1 April 2009; 45 (2): 155–156. https://doi.org/10.1159/000209656 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsPediatric Neurosurgery Search Advanced Search Article PDF first page preview Close Modal © 2008 S. Karger AG, Basel2009Copyright / Drug Dosage / DisclaimerCopyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. You do not currently have access to this content.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.265
Teacher spread0.252 · 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 designCase report
Domainnot available
GenreEmpirical

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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Citations6
Published2009
Admission routes1
Has abstractyes

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