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Record W6947976519 · doi:10.4224/23002016

Material emission information from: 105 building materials and consumer products

2012· report· en· W6947976519 on OpenAlexaffvenueabout

Bibliographic record

VenueNPARC · 2012
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSample (material)Air pollutionIndoor airTest (biology)Indoor air qualityContaminationSample preparationTest method

Abstract

fetched live from OpenAlex

This report summarizes the emission factors of 72 volatile organic compounds (VOCs) from 105 household materials tested under the “material emissions testing for naphthalene” (B3333) in 2010 and 2011. The test specimens included 61 building materials/furnishings and 44 consumer products. The tests were conducted using a fast screening method in a micro-scale chamber system in accordance with ASTM standard D7706–11. In addition to air samples taken for the naphthalene emission characterization, one more air sample was taken at 1.5 hour during the 2 hour test period. The additional sample was analyzed in a full-scan mass spectrometry (MS) mode for a broader range of VOCs. The special focus of this report was on determining the presence of 17 chemicals that are currently designated as “priority chemicals” by Health Canada’s Indoor Air Contaminants Assessment Section.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0510.015

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 head0.065
GPT teacher head0.218
Teacher spread0.153 · 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
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
Published2012
Admission routes3
Has abstractyes

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