Suivi et évaluation d'un éco-procédé par adsorption sur lit filtrant pour le traitement des eaux de ruissellement routier
Bibliographic record
Abstract
La nécessité du traitement d'eaux de ruissellement routier chargées en sel de voirie (sodium, calcium, chlorure) et d'eaux issues d'une agriculture intensive (phosphore) a permis l'étude (Saint-Augustin, Canada) et l'évaluation de la transposition (Massif-Central, France) d'une unité filtrante basée sur des principes physicochimiques d'adsorption. Un suivi qualitatif et hydraulique des eaux de surface ainsi qu'une étude des matériaux constituant l'unité (calcite, dolomie, pouzzolane, anthracite) ont été accomplis. Des mesures de débit par déversoir, essais de traçage, échantillonnage d'eau ont été réalisés sur terrain. Des essais d'adsorption, cinétiques, isothermes et colonnes ont été faits en laboratoire. L'étude terrain a montré que l'unité filtrante est assimilable à un réacteur piston pour des débits supérieurs à 400 mL/s, et permet un abattement maximum respectif de 67%, 71% et 70% pour le chlorure, calcium et phosphore total. L'étude en laboratoire a révélé une adsorption de 20% du sodium (calcite) et 15,4% du chlorure (dolomie).
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
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 | 0.001 | 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".