Bathymetry of Lake Erie and Lake Saint Clair
Bibliographic record
Abstract
bathymetry of lake erie and lake saint clair has been compiled as a component of a noaa project to rescue great lakes lake floor geological and geophysical data and make it more accessible this project is a cooperative effort between investigators at the noaa national geophysical data center s marine geology and geophysics division ngdc mgg the noaa great lakes environmental research laboratory glerl and the canadian hydrographic service chs bathymetric sounding data employed in compiling the one meter bathymetry national geophysical data center 1998 were collected over a 100 year period for purposes of navigation safety and nautical charting by the u s army corps of engineers the noaa coast survey and the canadian hydrographic service these bathymetric data totaling several hundred thousand soundings are separated four ways in existing archives by whether they exist in digital form or reside only on paper sheets and by whether they were collected by the u s or canada final assembly of the new bathymetry has resulted from synthesis of bathymetric data from the four sources spacing of data control tracklines ranges from 500 to 2500 meters for the open lake and from 125 to 500 meters for nearshore areas in preparation for bathymetric contouring digital soundings were converted to metric units and computer plotted in color according to depth range contours in metric units were generated directly on overlays from paper sheets and then reduced to compilation scale and patched in compilation sheets were scanned and vectorized and the resulting digital bathymetric contour data constitutes the primary product the data were hand contoured by geomorphologists to capture and portray the maximum information available resulting in a degree of detail not attainable with machine contouring and the density of available data bathymetric contours were prepared by geologists using sounding data contained in the paper archives at the scale of the survey sheets scales ranging from 1 100 000 to 1 10 000 or from sounding data contained in digital data bases at standard scales of either 1 100 000 or 1 50 000 details concerning the methods of compilation are given in the western lake erie paper holcombe et al 1997 bathymetric contours have been spatially reconciled with the noaa coast survey nominal scale 1 80 000 digital vector shoreline which by definition coincides with the lake erie low water datum the zero depth employed for bathymetric surveys and nautical charting
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.005 | 0.001 |
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".