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Record W4251741790 · doi:10.1109/mspec.2018.8544968

Contributors

2018· article· en· W4251741790 on OpenAlexaff
Susan Hassler, Glenn Zorpette, Harry Goldstein, Elizabeth Bretz, Mark Montgomery, Stephen Cass, Erico Guizzo, Jean Kumagai, Samuel Moore, Philip Ross, David Schneider, Randi Klett, Erik Vrielink, Eliza Strickland, Amy Nordrum, Willie Jones, Michael Koziol, Joseph Levine, Alan Gardner, Ramona Foster, Evan Ackerman, Mark Anderson, Robert Charette, Peter Fairley, Tam Harbert, Mark Harris, David Kushner, Robert W. Lucky, Prachi Patel, Morgen Peck, Richard Stevenson, Lawrence Ulrich, Paul Wallich, Peter Tuohy, Bonnie Nani, Shannan Dunlap, Web Production Coordinator, Jacqueline Parker, Michael Spector, Felicia Spagnoli, Nicole Evans Gyimah, David Brock, Sudhir Dixit, Limor Fried, Robert Hebner, Joseph Helble, Grant Jacoby, Leah H. Jamieson, Jelena Kovačević, Deepa Kundur, Norberto Lerendegui, Steve Mann, Allison Marsh, Jacob Østergaard, Ümi̇t Özgüner, Thrasos Pappas, H. Vincent Poor, John A. Rogers, Jonathan M. Rothberg, Umar Saif, Takao Someya, Maurizio Vecchione, Yu Zheng, Kun Zhou, Edward Zyszkowski, Michael Förster, Mark David, James Jefferies, José M. F. Moura, Joseph Lillie, William Walsh, Karen Bartleson, Vice Presidents, Witold Kinsner, M El-Ghazaly, Martin J. Bastiaans, Forrest Don, Wright, Susan Kathy, Land, Renuka Jindal, Vijay K. Bhargava, Jennifer T. Bernhard, John Walz, John Hung, Bruno Meyer, Dejan Milojičić, Alejandro Alex, Acero, Toshio Fukuda, Babak Beheshti, Katherine Duncan, Gregg Vaughn, Bernard Sander, Robert J. Shapiro, Kathleen Kramer, Maike Luiken, Margaretha Eriksson, Teófilo Ramos, Theodore Hissey

Bibliographic record

VenueIEEE Spectrum · 2018
Typearticle
Languageen
Field
Topic
Canadian institutionsCanadian Standards Association
Fundersnot available
KeywordsComputer scienceBusiness

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)0.016
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 score0.264
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7360.672

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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
Published2018
Admission routes1
Has abstractno

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