On the qualities of the air as affected by radiant energies (photocatalytic ionization processes for remediation of indoor environments)
Bibliographic record
Abstract
Airborne contaminants in indoor environments can affect the health of building occupants. Increased costs have prompted energy conservation and more stringent operational standards for buildings. Tight building envelopes reduce energy losses, but force reassessment of building designs and retrofits. The paradigm has shifted from "ventilation" to "comfort" to "indoor environmental quality" (IEQ). Various air treatment technologies can be used for control of trace contaminants. Conventional processes, such as sorption, filtration, and disinfection, are combined with advanced treatment processes (ATP), such as photocatalytic oxidation to oxidize volatile organic compounds (VOCs), bipolar air ionization to agglomerate particulate matter (PMx), and ultraviolet disinfection to inactivate bioaerosols. Modular hybrid devices are integrated into engineered systems to control low levels of these contaminants. The extensive early development of these technologies is supplemented with improved diagnostic techniques applied to domestic, institutional, and commercial installations. Key words: indoor environmental quality, IEQ, advanced treatment, ultraviolet, UV, titanium dioxide, TiO2, photocatalytic oxidation, PCO, volatile organic compounds, particulate matter, bioaerosols.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".