Exploring Patterns and Controls on the Hydrochemistry of Proglacial Streams in the Upper Santa River, Peru
Bibliographic record
Abstract
Dramatic glacier loss in the upper Santa River watershed in Ancash, Peru has significant impact on proglacial hydrologic systems, with implications for downstream stressors on human water use activities. This study integrates hydrochemical analysis and spatial exploration across multiple scales with the aim of exploring patterns and controls of inorganic water quality within the region. The chemistry of proglacial surface waters is primarily determined by weathering in rock-water contact areas, and glacial meltwater inherits the chemical properties of the surficial lithology along a flow path. Hydrochemical analysis methods identify elemental characteristics that are unique to the study region. Dominant hydrochemical processes include silicate weathering, coupled pyrite oxidation with silicate weathering, and to a lesser extent, carbonate weathering. The sulfate constituent is unusually high for portions of the study region and is attributed to highly acidified waters immediately downstream from glacial point sources. Geovisualization extends the results of the hydrochemical analysis by showing temporal change and suggesting connections between areas of freshly exposed surficial lithologies, high rates of erosion and weathering, and elevated sulfate concentrations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".