Geochemistry and hydrogeology of agriculture watershed No. 10, and their influence on the chemical composition of water and sediments
Bibliographic record
Abstract
The North Creek watershed Study (AG-10) was one of the eleven agricultural watersheds selected fur the detailed studies programme of the Agricultural Watershed Studies (Task C International Reference Group on Great Lakes Pollution from Land Use Activities (PLUARG)). The study was basically concerned with the element distribution and the identification of any contaminant sources of the Twenty Mile Creek Tributary. The objectives of the North Creek watershed Study (AG-10) initiated April, 1976 were: 1. To determine the distribution, amount and origin of twenty macro-nutrients, micronutrients, and trace elements in the North Creek Branch Watershed (AG-10) in terms of natural weathering during the Holocene period and any accelerated transformations resulting from man's activities during the last two hundred years. 2. To examine and interpret distribution patterns for the twenty elements in stream sediments, soils, subsoils and stream water in Watershed No. 10 in terms of the geochemical history of the area, patterns resulting from man's activities and the origin and flow paths of the stream water leaving the watershed. These study objectives help in identifying the source of some of the contaminants in the North Creek Watershed, and in so doing, help in determining the effect on the natural waters. The transportation mechanism of the contaminants from the source to the mouth of the tributary basin of the North Creek, thence by Twenty Mile Creek to Lake Ontario, will be estimated by a prepared model based upon the four studied parameters: 1) bottom stream sediments, 2) suspended sediments, 3) stream waters and 4) well waters.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".