Structured Comparative Testing for Major Brake Components, a New and Innovative Process by the US Army National Automotive Center (NAC) and Industry Partners
Bibliographic record
Abstract
<div class="htmlview paragraph">The US military has one of the largest and most varied vehicle fleets in the world, with a broad range of vehicle weights and types. These vehicle brake systems include disc, drum, wet plate, and wet band using mechanical, hydraulic, and air actuation systems. Military and commercial fleets share many challenges, most of which are driven by Federal laws, regulations, and policies.</div> <div class="htmlview paragraph">The objective of the project presented by this paper is to provide a decision-making tool so that the responsible engineering authority can make a reasoned decision on the acceptability of alternative products and sources through a formal standardized process. The paper presents the background, different test plans, test procedures, and the main workflow for 1) potential offerors interested in pursuing a brake component (secondary item) supply contract with the US Military, and 2) research/development of alternative systems.</div> <div class="htmlview paragraph">The product of the effort is the development of the “ATPD 2354” spec and its pre-planned replacement, a DODISS-approved Federal Test Standard (FTS) in MIL-STD-962 format.</div>
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".