Caractérisation de la matière organique des eaux naturelles et traitées par spectroscopie de fluorescence 3D
Bibliographic record
Abstract
Cette étude porte sur la caractérisation de la matière organique dans les eaux naturelles et traitées avec la technique de spectroscopie de fluorescence 3D. Au total, deux usines ont été étudiées entre 2009 et 2011: Usine du Secteur-centre de la ville de Québec, Usine de traitement des eaux potables de Victoriaville. Les paramètres de qualité d’eau mesurés sont la turbidité à l’eau brute, l’absorptivité UV, le carbone organique dissous, le carbone organique dissous biodégradable et la fluorescence. Cette étude utilise la fluorescence afin de démontrer son potentiel pour suivre les variations de la nature de la MON dans une source d’eau de surface et en cours de traitement. Les données de fluorescence ont été analysées par deux méthodes: par pic (maximums locaux) et par déconvolution 3D en fluorophores unitaires (Parallel factor analysis – PARAFAC). La fluorescence s’avère un outil utile pour évaluer l’efficacité du traitement.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, 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".