Methodological guide to deploy Functional Analysis into CODAC Systems for the Tritium Processing in ITER
Bibliographic record
Abstract
The present document is focused on the a nalysis of the ITER - TBM‘s Proto - CODAC system. ITER is considered to be the first nuclear fusion reactor to be energetically feasible for a sustained period of time with a rated fusion power of 500 MW. ITER Project involves 35 countries with a total est imated budget of some 15.000 M€; being the first of its kind from the point of view of international collaboration, engineering and supply sources; where every country participate with the best of its possibilities. The hearth of the fusion reactor is a giant Tokamak (6.2 m plasma major radius) with a se ries of ancillary buildings and facilities that might complete the whole p roject. The operation of ITER is scheduled to operate along the next 50 years , after completion of the facilities construction and commissioning of the plant, considering first to b e operated in D - D and further in a D - T modes. In this sense, the activity that supports the development of the present work was stated to be necessary to consider a tritium balance for the self - sufficient reaction and operation of the whole. Tritium is a v ery scarce element being its global sto cks to the present date of 2016 of some 20 kg, being produced mainly collected from the operation of Candu reactors in Canada [Raeder, 1986] . Also the operation of the ITER reactor might produce Tritium at a rate that might b e able to support the fusion reaction indefinitely on a time basis. Because of the tritium balance it is difficult to state due to its highly permeation throughout confinement of first walls and joint materials . Not to mention its high ly dangerous potential to human health, according to radiologic al properties . This is why it is necessary to establish predictive tools that might indicate the concentration and inventory across the facility, including emissions to the environment. In this sense, ITER Instrumentation and Control systems for Control and Data Acquisition (DACS) mainly constitute the layers between the users (Control Room) and the field Instrumentation (sensors and actuators). This is nam ed as ITER CODAC, which is the primary global system analyzed in the present document. The control philosophy it is stated to be predictive and from the author‘s point of view must include the comparison between field measurement and advanced modeling, including machine learning utility system that might be deployed in computational base.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.046 | 0.023 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".