Bibliographic record
Abstract
Because of a poor line-of-site for traffic traversing North Getty Street in Muskegon, Michigan, in addition to the potential for flooding of the project site it was desirable to construct two (2) parallel prefabricated BIN-WALL structures on both sides of the existing roadway alignment such that Getty Street could be elevated above Ryerson Bayou. The length of the west BIN-WALL was 152.4 meters (500 feet) in length, the east wall was 173.7 meters (570 feet) in length, and the individual bin heights varied from 1.73 meters (6 feet) to about 5.39 meters (18 feet) along the length of the BIN-WALLs in order to accommodate the topography of the site. Six (6) test borings were performed across the length of the site to ascertain the subsurface conditions beneath the site, which disclosed an extensive deposit of peat, marl, and loose sand that extends to a depth of about 7.7 meters (25 feet) beneath the existing site grade (corrected standard penetration test "N" values were typically revealed to be between 1 and 6 within this deposit). In addition, free ground water was encountered above the proposed bearing elevation over a significant length of each of the proposed BIN-WALLs. Several ground modification techniques such as dynamic deep compaction, vibrocompaction, and stone columns were considered for possible implementation in remediating the site. However, all of the aforementioned techniques proved to be too costly given the funding available for the project. Therefore, an innovative mode-of-operation which included the removal of much of the deleterious soil materials, in conjunction with the subsequent emplacement of a geogrid-reinforced crushed stone structural pad that was placed in the "wet" allowed for the efficient and cost effective solution for this project.
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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".