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Record W4234256872 · doi:10.1109/mcse.2019.2909623

Masthead

2019· paratext· en· W4234256872 on OpenAlexaff
Jim Chen, George Mason, Jeffrey C. Carver, Steven Gottlieb, D.E. Post, Barry I. Schneider, Joan Adler, Bruce M. Boghosian, Hans‐Joachim Bungartz, Norman Chonacky, Massimo Dipierro, Jack Dongarra, Rudolf Eigenmann, William J. Feiereisen, Geoffrey Fox, Keith C. Hemmert, D. P. Landau, Preeti Malakar, James E. Myers, John B. Rundle, Frank Sullivan, Gabriel Wainer, Manish Parashar, George K. Thiruvathukal, Mary Ann Leung, Rubin H. Landau, Scott Lathrop, Michael E. Papka, Volodymyr Kindratenko, Lorena A. Barba, Konrad Hinsen, Damian Rouson, João L. D. Comba, Daniel Weiskopf, Nargess Memarsadeghi, Mrityunjoy Chakraborty, Sumi Helal, Irena Bojanova, Shu-Ching Chen, Gerardo Díaz, David Alan Grier, Lizy K. John, Marc Langheinrich, Torsten Möller, David M. Nicol, İpek Özkaya, George Pallis, Subrahmanian Cs, Fabrizio Lombardi, Alfredo Benso, Cristiana Bolchini, Javier Bruguera, Rong Chang, Fred Douglis, Shi‐Min Hu, Sy‐Yen Kuo, Stefano Zanero, Daniel Zeng

Bibliographic record

VenueComputing in Science & Engineering · 2019
Typeparatext
Languageen
Field
Topic
Canadian institutionsCarleton 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)0.001
metaresearch head score (Gemma)0.003
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 score0.084
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9160.857

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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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
Published2019
Admission routes1
Has abstractno

Explore more

Same venueComputing in Science & EngineeringFrench-language works237,207