from "Determination of Organic Contaminants in Residential Indoor Air Using an Adsorption-Thermal
Bibliographic record
Abstract
This field study evaluated the ablllty of a multl-sorbent sampllng tubelthermal desorption technique to identlfy and to provide quantltatlve data on volatile organic contaminants in indoor air. Air samples, from 12 Canadian homes, were collected on multllayer sorbent cartridges and analyzed using Adsorptlon/Thermal Desorptlon coupled wlth Gas Chromatog-raphy/Mass Spectrometry. The study Included the ldentlficatlon and quantltatlon of 23 target compounds. Analysis of sorbent tubes fortified wlth these target compounds lndlcated that recoveries were>70 percent and the precision was usually better than 15 percent. These organic compounds were found to be stable on the sorbent tubes for at least seven days. With some exceptions, the target compounds were usually detected at 1 to 10 pg/m3 in indoor alr samples; other organics ldentlfied qualltatlvely were saturated hydrocarbons, unsaturated hydrocarbons, cycllc hydrocarbons, substituted aromatics, oxygenates, some halogenates and cycllc species such as camphenes/plnenes and carenes.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".