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Delay-Independent Deficit

2010· book-chapter· en· W4235436461 on OpenAlexaff
Nicola Simola, Micaela Morelli, Tooru M. Mizuno, Suzanne H. Mitchell, Harriet de Wit, H. Valerie Curran, Celia J. A. Morgan, Stephan Anagnostaras, Jennifer R Sage, Stephanie A Carmack, Lawrence H. Price, Grasielle C. Kincheski, Leandro J. Bertoglio, Antonio Pádua Carobrez, Andrea Bari, Roshan Cools, Yogita Chudasama, Stefan Leucht, William Breitbart, Yesne Alici, Karl Mann, Falk Kiefer, Michael Morgan, M J Christie, István Bitter, Eileen M. Joyce, Jonathan P. Roiser, Darren R. Christensen, Warren K. Bickel, Kenneth J. Rhodes, Peter Paul De Deyn, Debby Van Dam, Darrel J. Pemberton, Johannes Mosbacher, Thomas Steckler, Alyson J. Bond, Alex Hofer, Daniel Bertrand, Hans Rollema, Raymond S Hurst, Irwin Lucki, Fadi T. Maalouf, David A. Brent, Huaiyu Yang, George I. Papakostas, Andrew Young, Gabriele Fischer, Annemarie Unger, Linda P. Spear, Mohammed Shoaib, Emma Childs, Britta Hahn, Peter H. Boeijinga, Martine Cador, David S. Tait, Verity J. Brown, David S. Baldwin, Yavin Shaham, Sunila G Nair, Matthew I. Palmatier, Rick A. Bevins, Peter Riederer, Siegfried Hoyer, Mark A. Geyer, Anthony Absalom, David Menon, Joseph Zohar, Stephen C. Fowler, James Winslow, Kim Wolff, Bankole A. Johnson, Martina de Zwaan, Angela Roberts, Anthony R Isles, Lawrence S. Wilkinson, Rosa M. M. de Almeida, Klaus A. Miczek, Eric J. Nestler, Naheed Mirza, Joseph H. Friedman, Michael Minzenberg, Ashwini Padhi, Naomi Fineberg, MacDonald J. Christie, Joris C. Verster, Bernard Le Foll, Marilyn E. Carroll, Peter A. Santi, Ronald F. Mucha, Ian P. Stolerman, Richard W. Foltin, Christoph Hiemke, Luis Stinus, Stéphanie Caillé, John R. Mantsch, Anthony L. Riley, Steve Kohut, Brian E. Leonard, R. Andrew Chambers, Gail Winger, Mei‐Chuan Ko, James H. Woods, Seiya Miyamoto, Thomas R. E. Barnes, Kieran O’Malley, David J. Hellerstein

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicDistributed systems and fault tolerance
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0260.006

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 head0.013
GPT teacher head0.215
Teacher spread0.202 · 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 designTheoretical or conceptual
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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Citations0
Published2010
Admission routes1
Has abstractno

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