Bibliographic record
Abstract
Yu, S., Clark, O.G. and Leonard, J.J. 2005. Airflow measurement in passively aerated compost. Canadian Biosystems Engineering/Le genie des biosystemes au Canada 47: 6.39 6.45. Adequate aeration is necessary to maintain aerobic conditions in compost. Aeration systems are less expensive in terms of capital investment and operating costs if they are passive (convective) rather than active (forced). The flow and control of air has not been as well studied in passive systems, however, partly because of the difficulty of measuring the diffuse, variable, and sometimes extremely low flow rates of saturated air. In this study, a smoke tracer airflow meter was designed to measure airflow through passively aerated compost. Smoke from fuming sulphuric acid was injected into a straight air exhaust pipe and its passage was detected by two infrared emitter/detectors separated by a known distance. The meter was used to effectively measure the flow of moist exhaust air from a passively aerated, laboratory-scale compost vessel. The smoke tracer device was shown to be superior in this application to ultrasonic, hotwire, or bubble airflow meters.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".