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Record W4403128435 · doi:10.1039/d4em00340c

Dynamics of residential indoor gas- and particle-phase water-soluble organic carbon: measurements during the CASA experiment

2024· article· en· W4403128435 on OpenAlexafffund
Marc Webb, Glenn Morrison, Karsten Baumann, Jienan Li, Jenna C. Ditto, Han N. Huynh, Jie Yu, Kathryn J. Mayer, Liora E. Mael, Marina E. Vance, Delphine K. Farmer, Jonathan P. D. Abbatt, Dustin Poppendieck, Barbara J. Turpin

Bibliographic record

VenueEnvironmental Science Processes & Impacts · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsUniversity of Toronto
FundersNational Institute for Occupational Safety and HealthNational Institute of Standards and TechnologyUniversity of TorontoColorado State UniversityAlfred P. Sloan Foundation
KeywordsTotal organic carbonEnvironmental chemistryEnvironmental scienceGas phaseCarbon fibersParticle (ecology)Phase (matter)Water solubleEnvironmental engineeringChemistryMaterials scienceOceanographyOrganic chemistryGeology

Abstract

fetched live from OpenAlex

A system for semi-continuous real-time monitoring of gas- and particle-phase water soluble organic carbon (WSOC) was used to provide quantitative insights into the concentrations dynamics of WSOC in indoor air.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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 designObservational
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

Citations2
Published2024
Admission routes2
Has abstractyes

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