Hydraulic geometry of secondary channels of lower Fraser River, British Columbia, from acoustic Doppler velocimetry
Classification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The hydraulics and morphology of secondary channels within the lower Fraser River gravel reach have been examined using data collected during the 2002 freshet utilising an acoustic Doppler current profiler with integrated GPS. A range of sub-reach types was sampled, corresponding to position within an individual secondary channel. Surface and sub-surface grain size distribution data were collected as well. Sub-reach averaged water surface width, mean hydraulic depth and mean velocity data generally conformed well (R2 > 0.9) to the form of classical at-a-station hydraulic geometry relations, at higher flow. Spatial and frequency distributions of near-bottom velocity and channel depth were examined. In general, sub-reach types stratified along gradients of width, depth, velocity and sedimentology, although there were exceptions. Additional data collected at high flow were used to generate bankfull scaling relations for secondary channels in the gravel reach. Again, the data conform well to a simple power law, up to and including data points from the main channel. The water surface width to discharge relation agrees with work by Bray (1973) in Alberta gravel bed rivers and with the more general trend of a one-half power relation. However, the mean hydraulic depth to discharge relation (and by continuity, the mean velocity to discharge relation) deviate from previous results. Data collection in the field was somewhat facilitated by the use of the acoustic Doppler current profiler but post-processing time requirements were high and, ultimately, the operating frequency led to certain sampling problems. Issues surrounding the use of these instruments in river channels are discussed.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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