Utilisation des services écosystémiques pour la définition de seuils de rejets des eaux usées industrielles. Vers un outil d’aide à la décision pour les entreprises.
Bibliographic record
Abstract
Cet article s’intéresse à l’utilisation des principes de gestion de la qualité prescrits par l’ISO 9000, à la gestion des effluents industriels, avec comme clients potentiels notamment les écosystèmes récepteurs. La prise en compte des écosystèmes comme clients soulève la question de l’évaluation de leurs besoins. Le territoire est alors considéré par le biais des services écosystémiques afin d’identifier des cibles humaines aptes à exprimer leurs besoins afin d’en tirer des exigences vis-à-vis du milieu qui sont ensuite converties en exigences qualitatives vis-à-vis des rejets. Cette démarche a été matérialisée sous la forme d’un outil destiné aux industriels.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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; both teacher heads agree on what is shown here.
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".