Summary of inlet spray testing for Rolls Royce Canada
Bibliographic record
Abstract
This report summarises the testing and presents the data obtained for Rolls Royce Canada during the inlet spray rig testing at NRC in Ottawa and engine testing at Rolls Royce in Montreal, during October and November 2007. The testing comprised three distinct sections: 1. Spray bar commissioning 2. Water droplet size and flow field characterisation of a l/9th sector engine inlet rig 3. Water droplet size characterisation at the inlet of an operating engine This report supports and clarifies the electronic data files and video images recorded during the testing. The work performed was originally defined by NRC proposals RPGTL- 2007-0034 (Davison and Bird, 2007), for the rig work at NRC, and RP-GTL-2007- 0034 (Davison, 2007), for the engine work in Montreal. The scope was subsequently expanded through discussions with Rolls Royce representatives.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.009 |
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".