Water quality data for southern tributaries to Cayuga Lake (Tompkins County, NY): 1987-1989
Bibliographic record
Abstract
In the period 1987 to 1989 a stream water sampling and analysis program for the southern Cayuga Lake basin was carried out as a part of the continuing analysis of central NY water quality (Manuscripts and Water Quality Data for Watersheds and Lakes in Central NY, 1972-2003, online: http://hdl.handle.net/1813/2547; Water quality data for Fall Creek (Tompkins County, NY) sampling sites: 1972-1995, online: http://hdl.handle.net/1813/8148; Water quality data for well, stream, and seep samples from the Harford Teaching and Research Farm (Cortland County, NY): 1974-1994, online: http://hdl.handle.net/1813/8351; Water quality data for Kashong Creek Watershed (Ontario County and Yates County, NY) sampling sites: 1977-1979, online: http://hdl.handle.net/1813/8380). The samples were analyzed for suspended solids, NO3-N, and total dissolved phosphorus. The streams sampled were Fall Creek, Six Mile Creek, Cascadilla Creek and Inlet. Samples included all seasons and all flow regimes. On average, the NO3-N concentration in Fall Creek was 1.26 ppm, about twice that in the other streams. In the period 1972-1975, average NO3-N concentration was 0.97. The suspended solids in Six Mile Creek at Burns Road was higher than that in the other streams but at a location near its confluence with the lake (after passing though 2 impoundments), the concentration was comparable. Total dissolved P was lowest for inlet. In other locations (Six Mile Creek and Cascadilla) the TDP tended to increase after passage though City of Ithaca. A comparison of the suspended solids load in Fall Creek, 1973-1974 with 1987-1989 showed no important difference.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".