A DISTANCE PROTOCOL FOR MID-RANGE TLS IN SUPPORT OF ASTM-E57 STANDARDS ACTIVITIES
Bibliographic record
Abstract
We present experimental results with uncertainty analysis method for a proposed distance measurement protocol for mid- range terrestrial laser scanners (TLS). Three-dimensional (3D) imaging systems evaluation is performed in the environmentally controlled laboratory at NRC-IIT with the use of specially designed reference test object (RTO), test procedures and mathematical methods. The procedure is based on the evaluation of point-to-point distance measurements. The distance measurements characterizing a system under test (SUT) are taken between comparative points of reference (CPOR) located on the RTO plane surfaces. Selected CPORs are the intersections of particular lines of measurements with estimated RTO plane surfaces. The virtual lines of measurement are determined by using a spherical RTO. Uncertainty analysis for fitted planes, virtual lines of measurements and CPORs is performed with our software utilities especially created for this purpose. Data on commercial products are provided for the sake of illustrating the proposed protocol. 1.
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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) | 0.139 | 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".