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Record W205991341 · doi:10.5555/1218615.1218619

The development of CASC

2002· article· en· W205991341 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicLogic, programming, and type systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceCompetition (biology)Set (abstract data type)Operations researchOrder (exchange)Event (particle physics)Management scienceRisk analysis (engineering)Software engineeringProgramming language

Abstract

fetched live from OpenAlex

Researchers who make theoretical advances also need some way to demonstrate that an advance really does have general, overall positive consequences for system performance. For this it is necessary to evaluate the system on a set of problems that is sufficiently large and diverse to be somehow representative of the intended application area as a whole. It is only a small step from system evaluation to a communal system competition. The CADE ATP System Competition (CASC) has been run annually since 1996. Any competition is difficult to design and organize in the first instance, and to then run over the years. In order to obtain the full benefits of a competition, a thoroughly organized event, with an unambiguous and motivated design, is necessary. For some issues relevant to the CASC design, inevitable constraints have emerged. For other issues there have been several choices, and decisions have had to be made. This paper describes the evolution of CASC, paying particular attention to its design, design changes, and organization.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.236
Teacher spread0.195 · 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

Quick stats

Citations53
Published2002
Admission routes1
Has abstractyes

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