MétaCan
Menu
Back to cohort
Record W4388407660 · doi:10.1109/mspec.2023.10309281

Contributors

2023· article· en· W4388407660 on OpenAlexaff
Saifur Rahman, Thomas Coughlin, Mary Ellen, Randall Secretary, Forrest Don, Wright, K. Ray, Rabab Ward, Sergio Benedetto, Jill Gostin, John Verboncoeur, Yuan Yu, Eduardo Palacio, F. Maloberti, Kevin Peterson, Ben Khaled, Alistair Letaief, Cecilia Duffy, V Metra, Kamal Al-Haddad, Claudio A. Cañizares, Leila De Floriani, Ali H. Sayed, Stephanie White, Greg Gdowski, Andrew Lowery, Theresa Brunasso, Vickie Ozburn, Bob Becnel, Theodore Hissey, Priscilla Amalraj, Karen Hawkins, Thomas Siegert, Mary Ward-Callan, Stefano Galli, Maria Greco, Lawrence Hall, James Irvine, Charles L. Jackson, Clem Karl, Yong Lian, Fabrizio Lombardi, Aleksandar Mastilovic, Anna Scaglione, Gaurav Sharma, Isabel Trancoso, Peter J. Winzer, Zhuang Weihua, Harry Goldstein, Jean Kumagai, Elizabeth Bretz, Mark Montgomery, Erico Guizzo, Glenn Zorpette, Evan Ackerman, Samuel Moore, Philip Ross, David Schneider, Eliza Strickland, Randi Klett, Erik Vrielink, Sylvana Meneses, Michael Spector, Willie D. Jones, Michael Koziol, Joseph Levine, Alan Gardner, Gwendolyn Rak, Laura Bridgeman, Robert Charette, Steven Cherry, Charles Q. Choi, Peter Fairley, Edd Gent, W Gibbs, Mark Harris, Allison Marsh, Prachi Patel, Julianne Pepitone, Lawrence Ulrich, Kathy Pretz, Joanna Goodrich, Peter Tuohy, Felicia Spagnoli, Robert Schober, Ella Atkins, Sangyeun Cho, Francis Frank, Doyle Iii, Hugh Durrant‐Whyte, Matthew Eisler, Shahin Farshchi, Alissa Fitzgerald, Benjamin Groß, Daniel Hissel, Jason Hui, Michel M. Maharbiz, Somdeb Majumdar, Lisa May, Carmen S. Menoni, Ramune Nagisetty, Paul Nielsen, Sofia Olhede, Christopher Stiller, Mini S. Thomas, Wen Tong, Haifeng Wang, Qusi Alqarqaz, Stamatis Dragoumanos, Jonathan M. Garibaldi, Madeleine Glick, Francesca Iacopi, Cecilia Metra, Shashi Pandey, John Purvis, Steven Heffner, Mark David

Bibliographic record

VenueIEEE Spectrum · 2023
Typearticle
Languageen
Field
Topic
Canadian institutionsCanadian Standards Association
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)0.002
metaresearch head score (Gemma)0.017
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 score0.224
Threshold uncertainty score0.320

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.001
Science and technology studies0.0020.001
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7760.710

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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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
Published2023
Admission routes1
Has abstractno

Explore more

Same venueIEEE SpectrumFrench-language works237,207