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Record W4234401569 · doi:10.1002/cncy.21569

Issue information

2015· paratext· en· W4234401569 on OpenAlexaff
Michael Davies, C Esar, R Lacruz, Inmaculada Catalina-Fern Andez, Ricardo H. Bardales, Dolores Pimentel, Javier L Opez-Presa, Amber A. Smith, Shelley I. Odronic, Bridgette Springer, Jordan Reynolds, Jeffrey F. Krane, Edmund S. Cibas, Erik K. Alexander, Ralf Paschke, Markus Eszlinger, Susanne K. Jeffus, Amy Joiner, Eric R. Siegel, Nicole Massoll, Nikhil Meena, Chien Chen, Steven R. Post, Thaddeus Bartter, Christine Bergeron, Hans Ikenberg, Mario Sideri, Karin Denton, Johannes Bogers, Dietmar Schmidt, Francisco Alameda, Thomas Keller, Susanne Rehm, Ruediger Ridder, Maria Don, Maria Benevolo, Maximilian Linxweiler, Bernhard Schick, Manon Auger, Douglas P. Clark, Gilda Da, Cunha Santos, Diane D. Davey, Andrew Field, David A. Kaminsky, Ritu Nayar, Torill Sauer, Helen H. Wang, Helene Wiener, David C. Wilbur, Celeste N. Powers, Terence J. Colgan, Gladwyn Leiman, Martha B. Pitman, Esmeralda Buchanan, Daniel Nadolny, Zubair Baloch, George Birdsong, Julia A. Bridge, Lyle D. Broemeling, Guoping Cai, Joan Cangiarella, Longwen Chen, Brian T. Collins, William Crabtree, Mina Desai, Catherine I. Dumur, Tarik M. Elsheikh, William C. Faquin, Armando Filie, Christine Fuller, Yun Gong, Michael O. Idowu, Chris Jensen, Kusum Kapila, Jerzy Klijanienko, Adele Kraft, Savitri Krishnamurthy, Xiaoqi Lin, Britt–Marie Ljung, Sara E. Monaco, Sharon Mount, Aziza Nassar, Christopher N. Otis, Liron Pantanowitz, Ibrahim Ramzy, Andrew A. Renshaw, Michael H. Roh, Dorothy L. Rosenthal, Mauro Saieg, Beatriz Salvagno, Fernando Schmitt, Mary R. Schwartz, Mary Sidawy, Momin T. Siddiqui, Philippe Vielh, Jack Yang, Maureen F. Zakowski

Bibliographic record

VenueCancer Cytopathology · 2015
Typeparatext
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsCitationInformation retrievalMedicineWorld Wide WebLibrary scienceInternet privacyComputer science

Abstract

fetched live from OpenAlex

In pediatric central nervous system tumors, squash cytology improves the diagnostic accuracy and protects tissue from freezing artifacts; its use is recommended in every case. A Romanowsky-stained preparation provides valuable information about the background features of the examined lesion and complements conventional hematoxylin and eosin and Papanicolaou staining methods.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.162
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8380.661

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 head0.030
GPT teacher head0.367
Teacher spread0.337 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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