Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Iodine number, BET surface area, taste and odour compound isotherms, and trace capacity number tests were used to rank five different granular activated carbons according to thermodynamic adsorption performance. These tests were compared to expected activated carbon service life and loading results of rapid small-scale column tests (RSSCTs) run with water from two lake sources spiked with geosmin and 2-methylisoborneol (MIB). Trace capacity number, used to specifically identify high adsorption energy sites on activated carbon, was hypothesized to be correlated to geosmin/MIB breakthrough and loading performance of different activated carbons. This study found no such clear correlation. However, when only bituminous coal activated carbons were considered, correlations to MIB breakthrough were strengthened. Natural organic matter (NOM) adversely affected adsorption, resulting in decreased RSSCT throughput to breakthrough in surface water with higher total organic carbon (TOC). Methods for improving characterization tests and RSSCTs when NOM is present are discussed.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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) | 0.001 | 0.000 |
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 it