MétaCan
Menu
Back to cohort
Record W4249736392 · doi:10.1109/mspec.2021.9311493

Contributors

2020· article· en· W4249736392 on OpenAlexaff
Susan Kathy, Land, Mary Ray, Kathleen Randall, Toshio Kramer, Vice Fukuda, Stephen Presidents, Lawrence S. Phillips, Maike Hall, Roger Luiken, James Matthews, Katherine Duncan, Alfred Al, Dunlop, Ruth Dyer, Sergio Benedetto, Manfred Fred, Schindler, Thomas M. Conte, Paul Cunningham, Miriam Sanders, Christina Schober, Kreidieh Rabab, Dalma Ward, Eduardo Palacio, Barry Tilton, Jill Gostin, Johnson Asumadu, James Look, Timothy Lee, Jianjun Jason, Antonio Luque, Alberto Cabañero-Sánchez, Theodore Hissey, Stephen Welby, Karen Hawkins, Sophia Muirhead, Thomas Siegert, Mary Ward-Callan, Lawrence Hall, Eddie Custovic, Stefano Galli, Lorena García, Ron Goldfarb, W. Karl, Hülya Kırkıcı, Paolo Montuschi, Sorel Reisman, Gaurav Sharma, Maria Valcher, John Verboncoeur, J.R. Vig, Zhao Bin, Susan Hassler, Harry Goldstein, Elizabeth Bretz, Mark Montgomery, Jean Kumagai, Samuel G. Moore, Philip Ross, David Schneider, Eliza Strickland, Randi Klett, Erik Vrielink, Willie Jones, Michael Koziol, Joseph Levine, Alan Gardner, Ramona Foster, Evan Ackerman, Robert Charette, Charles Q. Choi, Peter Fairley, Maria Gallucci, W Gibbs, Mark Harris, Jeremy Hsu, Allison Marsh, Prachi Patel, Megan Scudellari, Lawrence Ulrich, Emily Waltz, Kathy Pretz, Joanna Goodrich, Peter Tuohy, Multimedia Production Specialist, Michael Spector, Gail Schnitzer, Felicia Spagnoli, Nicole Evans Gyimah, David C. Brock, Ronald F. DeMara, Shahin Farshchi, Jason Hui, Leah H. Jamieson, Mary Jepsen, Deepa Kundur, Peter B. Luh, Michel M. Maharbiz, Carmen S. Menoni, Sofia Olhede, Majumbar Somdeb, Wen Tong, Qusi Alqarqaz, Philip Chen, Shashank Gaur, Cecilia Metra, San Murugesan, Mirela Sechi, Annoni Notare, Joel Trussell, Hon Ki Tsang, Chenyang Xu

Bibliographic record

VenueIEEE Spectrum · 2020
Typearticle
Languageen
Field
Topic
Canadian institutionsCanadian Standards Association
Fundersnot available
KeywordsEngineeringComputer 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 score0.227
Threshold uncertainty score0.324

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)0.7730.705

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 head0.023
GPT teacher head0.239
Teacher spread0.216 · 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
Published2020
Admission routes1
Has abstractno

Explore more

Same venueIEEE SpectrumFrench-language works237,207