Bibliographic record
Abstract
Odor Monitoring at the City of Montreal Waste Water Treatment PlantThe City of Montreal Waste Water Treatment Plant (the Plant) is located in an urban area and has a treatment capacity of 3 million people-equivalents. The sequence of record-breaking hot summers since 1998 contributed to an increase in the number of odor complaints linked to the Plant. Consequently, various measures were implemented for ever-tighter odor monitoring designed to identify and...Author(s)Pierre PurenneSourceWater PracticeSubjectArticlesDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jun, 2007ISSN1933-1770SICI1933-1770(20070601)1:2L.1;1-DOI10.2175/193317707X209821Volume / Issue1 / 2Content sourceWater PracticeFirst / last page(s)1 - 14Copyright2007Word count161Subject keywordsELECTRONIC NOSEOLFACTOMETRYODOR MONITORINGWATER TREATMENT
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".