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Record W4294892146 · doi:10.1109/mspec.2022.9881266

Masthead

2022· paratext· lv· W4294892146 on OpenAlexaff
Harry Goldstein, Jean Kumagai, Elizabeth Bretz, Mark Montgomery, Glenn Zorpette, Evan Ackerman, Samuel Moore, Philip Ross, David Schneider, Eliza Strickland, Randi Klett, Erik Vrielink, Sylvana Meneses, Michael Spector, Michael Novakovic, Margo Anderson, Willie D. Jones, Michael Koziol, Joseph Levine, Alan Gardner, Robert Charette, Steven Cherry, Charles Q. Choi, Peter Fairley, Edd Gent, W Gibbs, Mark Harris, Allison Marsh, Prachi Patel, Julianne Pepitone, Lawrence Ulrich, Emily Waltz, Kathy Pretz, Joanna Goodrich, Peter Tuohy, Felicia Spagnoli, Nicole Evans Gyimah, Susan Hassler, Ella Atkins, Francis Doyle, Matthew Eisler, Shahin Farshchi, Alissa Fitzgerald, Jonathan M. Garibaldi, Benjamin Groß, Lawrence Hall, Jason Hui, Leah H. Jamieson, Mary Jepsen, Michel M. Maharbiz, Somdeb Majumdar, Lisa May, Carmen S. Menoni, Ramune Nagisetty, Paul Nielsen, Sofia Olhede, Christopher Stiller, Wen Tong, Qusi Alqarqaz, Stamatis Dragoumanos, Madeleine Glick, Francesca Iacopi, Cecilia Metra, Shashi Pandey, John Purvis, Steven Heffner, Mark David, Erik Albin, Kui Liu, Saifur Elect, Mary Rahman, John M. Randall, Susan Walz, Stephen Kathy, Lawrence S. Phillips, David Koehler, Bruno Meyer, James Matthews, Deborah Cooper, Franco Maloberti, Ruth Dyer, Ben Khaled, Manfred Letaief, Fred, Ian Schindler, Paul Cunningham, Claudio Cañizares, Christina Schober, Ali H. Sayed, Dalma Novak, Greg Gdowski, Barry Tilton, Theresa Brunasso, Johnson Asumadu, Bob Becnel, Timothy Lee, Robert Anderson, Antonio Luque, Theodore Hissey

Bibliographic record

VenueIEEE Spectrum · 2022
Typeparatext
Languagelv
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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.092
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9080.875

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 head0.274
Teacher spread0.251 · 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.

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
Published2022
Admission routes1
Has abstractno

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Same venueIEEE SpectrumFrench-language works237,207