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Record W2290464134

Airflow measurement in passively aerated compost

2005· article· en· W2290464134 on OpenAlexaffabout
S. Yu, Olivier Léonard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicComposting and Vermicomposting Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAirflowAerationCompostSmokeEnvironmental scienceEnvironmental engineeringWaste managementMeteorologyEngineeringMechanical engineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.215
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2005
Admission routes2
Has abstractyes

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