Referee comment on "Effects of preferential flow on snowmelt partitioning and groundwater recharge in frozen soils"
Bibliographic record
Abstract
The manuscript of Mohammed at al. describes a field study of winter time infiltration in a cold region environment in the Canadian prairies where spring snowmelt and midwinter melt events can have an important contribution to groundwater recharge.They used a sensor setup at three sites, each with two installed soil pits, including measurements of soil moisture, soil temperature and groundwater head.Furthermore, snow surveys were conducted and ponding levels in the depressions were recorded.The authors observed high amounts of infiltration during times when the soil was still frozen and corresponding increases in soil moisture content, some below the frost layer or non-sequential sensor reactions.Additionally, the recession rate of the water in the depression indicated infiltration into the frozen soils.The authors concluded that pref-C1
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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 | 0.005 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.014 | 0.009 |
| Insufficient payload (model declined to judge) | 0.061 | 0.029 |
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".