located between Yellowknife and Contwoyto
Bibliographic record
Abstract
Abstract: Data on the water chemistry and limnology of 24 lakes located between Yellowknife (628279N, 1148219W) and Contwoyto Lake (658309N, 1108009W) in the central Northwest Territories were examined using principal components analysis and other statistical techniques. The study sites were mostly shallow (Zmax = 2.5–25 m; mean = 8.2 m), nutrient-poor (3.4– 12.7 mg total phosphorus/L; mean = 6.6 mg ⋅ L–1), low-alkalinity lakes. Water was typically low in solutes (specific conductance near 0–100 mS ⋅ cm–1), with slightly acidic to alkaline pH (6.2–8.9). Levels of all nutrients and major ions showed identical trends of decreasing concentrations with increasing latitude, with the highest concentrations generally in lakes with conifer-forested catchments in the south. Résumé: Les données sur les caractéristiques chimiques et limnologiques de 24 lacs situés entre Yellowknife (628279N, 1148219W) et le lac Contwoyto (658309N, 1108009W) dans le centre des Territoires du Nord-Ouest (T.N.-O.) ont été examinées à l’aide de l’analyse des composantes principales. Les sites d’étude étaient pour la plupart des lacs peu profonds (Zmax = 2,5 à 25 m; moyenne = 8,2 m), pauvres en éléments nutritifs (3,4 à 12,7 mg ⋅ L–1 en phosphore totale, moyenne = 6,6 mg ⋅ L–1) et de faible alcalinité. De manière typique, l’eau était pauvre en solutés (conductivité électrique près de 0 à 100 mS ⋅ cm–1), et son pH variait de légèrement acide à alcalin (6,2 à 8,9). Les concentrations de tous les éléments nutritifs et des ions majeurs ont montré des tendances identiques, c.-à-d. qu’ils diminuaient avec l’augmentation de la latitude, les concentrations les plus élevées se trouvant généralement dans les lacs méridionaux avec forêts de conifères dans le bassin versant. [Traduit par la Rédaction]
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".