Conceptual Design of Hemp Fibre Production Lines in Virtual Environments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The goal of virtual orthodontic treatment planning is to re-position the teeth in a digital dental model so that the desired alignment of the teeth on each dental arch and occlusion (i.e., matching) of the upper and lower arches is achieved.The input to the planning process is a collection of individual tooth objects obtained by segmenting a noisy 3D surface mesh that is generated by laserscanning a plaster model of the dental arch built from patient-specific dental impressions.A key step in the planning is the identification of features on the surface of the teeth such as cusps, grooves, incisal edges, marginal ridges, and occlusal surface boundary, that are important both for carrying out the alignment and evaluating its quality.This paper presents a collection of techniques to identify such features automatically, with minimal user intervention.Experimental results are presented that show the effectiveness of the approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it