Formal Specification of Correlation in WS Orchestrations Using BP-calculus
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Bibliographic record
Abstract
Correlation is an important mechanism used in orchestration languages for Web Services. It expresses means by which many instances of the same service can be carried on at the same time. In this paper we extend the BP-calculus, a language based on the π-calculus and dedicated to the specification of web service orchestrations, with a message algebra, a mechanism of function evaluation and a mechanism of correlation. The mechanism of function evaluation allows message handling while the mechanism of correlation guarantees uniqueness of service instances by preventing reception of messages inducing the same assignments of a correlation set. We also show how it can be used to express the semantics of the BPEL constructs coping with correlation. As an illustration of the usefulness of this process algebraic framework, we terminate with the presentation of a motivating example, the Trade Market example.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it