Bibliographic record
Abstract
Inspection method of concrete structures is typically hammering test. In the hammering test workers tap surfaces of concrete with a hammer. However, workers' testing is not economical in both time and money. So we have developed a suspension hammering tester for concrete walls which includes an impact acoustic apparatus to detect defects. The tester ascends/descends by a winch mounted to the rooftop of buildings, ascending/descending at a speed of 0.5 m/s. The tester has four wheels, four impactors, two microphones, and four fans that apply pressure in order for the machine to adhere to concrete walls. Four impactors are positioned at equal intervals of 150mm on a horizontal axis combining to create a 0.5m wide testing range during a single ascent or descent. So, the testing speed is 0.5 m/s * 0.5 m = 0.25 m/s 2 . The dimensions of the machine are 70 cm wide, 80 cm long and 18 cm thick.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
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".