Coordinate metrology and the proposed E57.02 static pose determination standard
Bibliographic record
Abstract
We present the Proposed Standard ASTM E57.02 "Standard Test Method for Evaluating Static Pose Measurement Systems" (Work Item ASTM WK31638) and explain why it should be considered important by coordinate metrologists. The stated purpose of the standard is to provide metrics and procedures to evaluate how well a non-contact 3D imaging system is able to determine an object's pose relative to the 3D imaging system. Pose estimation is particularly important for 3D imaging systems that can be moved during the process of generating a digital surface model of a surface, such as arm-mounted 3D imaging systems. The quality of the digital surface model generated by merging multiple depth maps depends on how well the 3D imaging system, or systems, was able to determine their pose during acquisition. We provide a summary of the document to date, the proposed test methods, and the current status of the proposed standard.
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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 | 0.019 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.014 |
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".