5.5.1 A SysML‐based Approach for the Specification of Complex Systems
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.
Bibliographic record
Abstract
Abstract This paper describes a SysML‐based approach for the definition of the different layers of requirements necessary for a full functional specification of complex systems and/or systems‐of‐systems. The approach is specifically suited to those cases in which the development of the system as a whole and that of the single system elements (or of subsets of system elements), are under the responsibility of different development teams, within the same firm or belonging to different firms. The process is based on a recursive approach, in which each layer of the development must: i) interact with its “customer”, through the acquisition and analysis of the stakeholder requirements applied to the system, ii) define the system‐level requirements as a result of a black‐box analysis of the system's behavior, and iii) perform a white‐box analysis for the definition of the system elements' requirements.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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