Application of a Three-Dimensional Color Laser Scanner to Paleontology
Bibliographic record
Abstract
Three-dimensional (3D) modeling has always been an important part of paleontological research and interpretation though digital reproductions of fossils are a recent phenomena. A highly accurate, interactive, 100 µm resolution, 3D, digital model of a fossilized basisphenoid-basioccipital from a juvenile Tylosaurus sp. mosasaur was generated using a 3D laser scanner and manipulated using VRML and InnovMetric polygon files. This 3D model supports varying levels of magnification depending on the initial scan resolution and the amount of post-production polygon reduction. The generation of these 3D models is relatively simple because the software and technology for their generation is relatively mature. At present, complex 3D models require powerful computers in order to manipulate their computer graphic substructures. But, as computer technology improves, digital 3D scanning could prove invaluable for creating and sharing virtual copies of fossil material.
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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) | 0.012 | 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; both teacher heads agree on what is shown here.
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".