Video documentation of experiments at the USGS debris-flow flume 1992–2024
Bibliographic record
Abstract
First posted November 23, 2007 Revised January 30, 2018 For additional information, contact: Contact CVO Volcano Science Center, Cascades Volcano ObservatoryU.S. Geological Survey1300 SE Cardinal Court, Building 10, Suite 100 Vancouver, WA 98683-9589 http://vulcan.wr.usgs.gov/ This set of videos presents about 18 hours of footage documenting the 163 experiments conducted at the USGS debris-flow flume from 1992 to 2017. Owing to improvements in video technology over the years, the quality of footage from recent experiments generally exceeds that from earlier experiments.Use the list below to access the individual videos, which are mostly grouped by date and subject matter. When a video is selected from the list, multiple video sequences are generally shown in succession, beginning with a far-field overview and proceeding to close-up views and post-experiment documentation.Interpretations and data from experiments at the USGS debris-flow flume are not provided here but can be found in published reports, many of which are available online at: https://www.usgs.gov/staff-profiles/richard-m-iverson?qt-staff_profile_science_products=3#qt-staff_profile_science_productsA brief introduction to the flume facility is also available online in USGS Open-File Report 92–483 [https://pubs.er.usgs.gov/publication/ofr92483].
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 | 0.001 | 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.149 | 0.030 |
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".