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Record W4239879776 · doi:10.1109/mwscas.2013.6674564

Student paper contest (including presentation schedule)

2013· article· en· W4239879776 on OpenAlexaff
Ismail Liu, Hoi Lee, Victoria L. Lemieux, Daming Shi, Richard Comley, Te-Wen Liao, Chun‐Jen Su, Chung-Chih Hung, Qifeng Gan, J. M. Pierre Langlois, Yvon Savari, Yingsi Liang, Dinesh Rajan, Oren Eliezer, Sidharth Balasubramanian, Waleed Khalil, Sleiman Bou, Sleiman Jae, Min Hong, Earl E. Swartzlander, Christopher Condrat, Priyank Kalla, Steve Blair, Xuan Zhang, Chengcheng Yao, Feng Guo, Jin Wang, Basem M. Abdelrahman, Hesham N. Ahmed, Khaled Shehata, Khair Al Shamaileh, Mohammad Almalkawi, Vijay Devabhaktuni, Nihad Dib, Bassem Henin, Amin Abbosh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMathematics, Computing, and Information Processing
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsCONTESTPresentation (obstetrics)Computer scienceSchedulePolitical scienceOperating systemMedicine

Abstract

fetched live from OpenAlex

Provides a schedule of conference events and a listing of which papers were presented in each session. The MWSCAS student contest has been a highlight of the Symposium since 1997. Ten contest finalists, chosen by a panel of judges on the basis of their complete submitted papers, will present their work in two sessions on Monday, August 5, 2014. Prizes will be awarded to the top three students, based on both written papers and oral presentations, on Tuesday, August 6, 2013 during the banquet.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.333
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0030.000
Scholarly communication0.0130.002
Open science0.0030.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.6670.680

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 head0.031
GPT teacher head0.296
Teacher spread0.265 · 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
Published2013
Admission routes1
Has abstractyes

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