Hydrological budgets of a watershed including a highly aqualysed fen, James Bay, Quebec, Canada.
Bibliographic record
Abstract
Figure 1.Location of the study site (54°06'868'' N; 72°30'083'' W) • Small 12.5-ha watershed located in the James bay region; • Slope of 1.45% (-135° relative to north); • Includes a 3.5-ha minerotrophic peatland; • Average temperature -3.2°C; • Annual precipitation 782 mm (32% of snow); Peatland: • Two sections with a succession of ponds and strips; • A larger pond near the outlet; • High proportion of water surface (31% of peatland area); Study site Objective (1) : Calculate seasonal and monthly potential evapotranspiration values using semi-empirical equations such as Thornthwaite, Penman-Monteith and Priestley-Taylor and to compare the results • Cumulative PET : (a) Thornthwaite (Th) : 208,5 mm; (b) Priestley-Taylor (P-T) : 205,4 mm; (c) Penman-Monteith (P-M) : 162,2 mm• Results of a one-way ANOVA test between mean PET:-P-M averages were significantly different (p-value=0.001 and 0.004, =0.05); -Th and P-T were not significantly different (p-value=0.925,=0.05);•Hydrological budgets were calculated in two ways:(1) with an average Th and P-T PET results;(2) with P-M PET results.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".