Bibliographic record
Abstract
To achieve sufficient driving range for fuel cell powered vehicles, automotive companies have developed onboard fuel systems capable of storing hydrogen compressed to 70 MPa (10,000 psi). Fueling infrastructure was required to support the effort of these car manufacturers. This paper describes a demonstration project to design and construct 70 MPa fueling station facilities at Powertech Labs in Surrey, B.C., Canada. The station was part of a government and industry funded co-operative project called “Compressed Hydrogen Infrastructure Program (CH2IP)”. Filling a fuel cell vehicle to 70 MPa necessitates a hydrogen fueling station working pressure of 87.5 (12,500 psi). The biggest challenge of the project was to source components capable of withstanding hydrogen compressed to 87.5 MPa. Key components were developed by a number of suppliers to accommodate the higher pressure requirements (cylinders, valves, fittings, flow-meter, dispenser, and fill nozzle). Prior to installation, the new components were extensively tested at Powertech to ensure they could be operated safely and reliably under normal and abnormal fueling station service conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".