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Record W2784947447 · doi:10.5703/1288284316629

Purdue's Biowall

2018· report· en· W2784947447 on OpenAlexaff

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsFresh airArchitectural engineeringVentilation (architecture)Indoor air qualityEnvironmental scienceInfiltration (HVAC)Energy recovery ventilationComplement (music)EngineeringComputer scienceEnvironmental engineeringMeteorologyHVACMechanical engineeringGeographyAir conditioning

Abstract

fetched live from OpenAlex

Mechanical ventilation, energy recovery ventilation, and infiltration (air that leaks into a building) are commonly used to introduce fresh air. These are all valid approaches, but a living plant-based filter is an innovative complement to these traditional technologies. A Biowall has the potential to improve indoor air quality while reducing the quantity of air needed for ventilation, creating the potential for energy savings. Figure 1 shows a Biowall prototype being evaluated in the ReNEWW House, a research home located near the Purdue University campus (http://www.renewwhouse.com/).

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.252
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2520.076

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 head0.252
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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