Un système d’information pour le suivi et l’évaluation de la qualité des cours d’eau. Application à l’hydro-écorégion de la plaine d’Alsace
Bibliographic record
Abstract
La directive cadre europeenne sur l'eau (2000) impose la mise au point de nouveaux outils pour l'evaluation et le suivi de la qualite des masses d'eau. Dans ce but, nous avons realise depuis 2005 divers prelevements sur un choix de stations (en rivieres) de la plaine d'Alsace. Une base de donnees a ete concue pour organiser et partager les informations collectees : informations relatives aux especes presentes dans les cours d'eau alsaciens et resultats des prelevements (physiques, physico-chimiques et biologiques) effectues sur les stations. Pour simplifier et enrichir l'analyse de ces informations nous avons developpe un ensemble d'outils comprenant : l'interrogation de la base, la visualisation sur carte des stations respectant des criteres donnes, un classifieur traitant les caracteristiques des stations. Notre objectif a terme est de constituer un systeme d'information utilisable a l'echelle du bassin Rhin-Meuse.
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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".