Application of digital surveying and mapping to the survey of Yuanyingsi ancient block tower
Bibliographic record
Abstract
In order to solve the problem of Yuanyingsi Ancient Block Tower which is lack of blueprint and data,and to provide with detail basic data for the long term monitoring of the sedimentation and lean changes of this tower in the future,it is urgent to make accurate digital surveying for this tower.With several equipments and software,such as Topcon332 total station,Two Band South ET-02 theodilite,OLYMPUS 5050 digital cameral,PⅣ computer and Auto CAD,Photoshop,Camedia Master,Erdas,Epsw etc.,we have made an accurate and digital 3-D model of this tower.The detailed digital local drawing is elaborated and a dot database of 3-D tower body is established.The consequences demonstrate that it is largely decrease the outside workload,danger,surveying cost,surveying cycle and manmade error comparing with the conventional technique.Meanwhile,this method of survey hardly touches the tower,so the sight of the tower has not been affected.It is worth to use for reference.
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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".