Application of three‐dimensional digitalized reconstruction of an anterolateral thigh flap and an arterial dorsalis pedis flap
Bibliographic record
Abstract
Developments in the field of digitalized technique and three-dimensional (3D) reconstruction methods allowed a precise description of anatomy structures. With the development of Visible Human Project (1989) and Virtual Chinese Human (VCH) techniques, we could get more precise anatomic images. Digitized visible models of these structures can be a useful tool in clinical training. Combining modern radiology and VCH techniques, we designed a method to establish digitized visible models of anterolateral thigh (ALT) flap and arteria dorsalis pedis (ADP) flap from adult fresh cadaver specimens perfused with lead oxide-gelatine mixture and VCH Male III dataset. The 3D reconstructed visible models established from these datasets perfectly displayed the anatomic structures of ALT flap and ADP flap. This is the first report on the ACFL and ADP structures which were reconstructed digitally.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".