System health report for 241-T - 241-TX - 241T-Y and 241-C farm structures and mixing and monitoring
Bibliographic record
Abstract
This document describes System Health status for T, TX, TY, and C TANK STRUCTURES, MIXING AND MONITORING during the 2nd quarter of calendar year 2003. This quarter's system health report is the first one grouping together the T, TX, TY, and C tank farms. Previously, the T Complex farms were covered in RPP-9944, ''System Health Report for T, TX, TY, and U Waste Tank Structures, Mixing and Monitoring'', while C farm was covered in RPP-9909, ''System Health Report for A, Ax, and C Farm Structures, Mixing, and Monitoring''. The change in grouping was made to remain consistent with recent changes in system engineering assignments. Information for each farm was extracted from previous reports to provide past quarter's data for comparison with this quarter. The T, TX, TY, and C Waste Tank Structures, Mixing, and Monitoring System receives a Good rating with overall ''No Change'' trending this quarter. The primary components in this system functioned as expected and required with the exception of one ENRAF level gauge component failure. The primary components include the tanks themselves, ENRAF level gauges, thermocouple trees, and Liquid Observation Wells (LOW). A special focus examination of equipment calibration was conducted during the quarter. No out of calibration equipment was found.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.069 | 0.030 |
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".