SEG-Y format boomer seismic data collected by the U.S. Geological Survey within the St. Clair River between Michigan and Ontario, Canada, 2008
Bibliographic record
Abstract
in 2008 the u s geological survey usgs woods hole coastal and marine science center whcmsc in cooperation with the u s army corps of engineers conducted a geophysical and sampling survey of the riverbed of the upper st clair river between port huron mi and sarnia ontario canada the objectives were to define the quaternary geologic framework of the st clair river to evaluate the relationship between morphologic change of the riverbed and underlying stratigraphy this report presents the geophysical and sample data collected from the st clair river may 29 june 6 2008 as part of the international upper great lakes study a 5 year project funded by the international joint commission of the united states and canada to examine whether physical changes in the st clair river are affecting water levels within the upper great lakes to assess regulation plans for outflows from lake superior and to examine the potential effect of climate change on the great lakes water levels http www iugls org this document makes available the data that were used in a separate report u s geological survey open file report 2009 1137 which detailed the interpretations of the quaternary geologic framework of the region this report includes a description of the suite of high resolution acoustic and sediment sampling systems that were used to map the morphology surficial sediment distribution and underlying geology of the upper st clair river during usgs field activity 2008 016 fa video and photographs of the riverbed were also collected and are included in this data release future analyses will be focused on substrate erosion and its effects on river channel morphology and geometry ultimately the international upper great lakes study will attempt to determine where physical changes in the st clair river affect water flow and subsequently water levels in the upper great lakes
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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 | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.009 |
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".