Water quality data for southern tributaries to Cayuga Lake (Tompkins County, NY): 1987-1989
Why this work is in the frame
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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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it