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Record W2171324534 · doi:10.13031/2013.22356

Evaluation of Airflow through a Horizontal-Airflow Biofilter with a Non-Pressurized Headspace

2006· article· en· W2171324534 on OpenAlexaboutno aff
D. D. Mann, Karen Wilson, C. S. Ima

Bibliographic record

VenueASABE/CSBE North Central Intersectional Meeting · 2006
Typearticle
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsBiofilterAirflowMoistureEnvironmental scienceAir filterOdorHydrogen sulfideWaste managementFilter (signal processing)CompostPulp and paper industryEnvironmental engineeringMaterials scienceChemistryEngineeringComposite materialMechanical engineering

Abstract

fetched live from OpenAlex

A horizontal-airflow biofilter without a pressurized headspace was designed with the hope of eliminating problems that had been observed with the previous pressurized-headspace design. Seven distinct biofilter units were constructed adjacent to a commercial hog barn in southern Manitoba. Airflow characteristics through the biofilter were mapped; more air exited through the top surface of the biofilter than was anticipated. Zeolite added to the biofilter media (wood chip and compost mixture) enhanced the effectiveness of hydrogen sulfide reduction without negatively affecting airflow characteristics. The proposed comparison of three moisture application systems was unable to be completed because the hay probe moisture meter could not be satisfactorily calibrated in the media.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

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 head0.017
GPT teacher head0.246
Teacher spread0.229 · 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.

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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

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