Sistema de adquisición de imágenes tridimensionales de alta precisión
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
El uso de sensores de profundidad basados en sistemas láser permite un gran incremento en la velocidad de adquisición de imágenes 3D y en la densidad de puntos, pero no iguala la precisión que se obtiene con el uso de Máquinas de Medición Tridimensional (MMT). Con el fin de obtener datos 3D precisos utilizando un sensor de profundidad para tareas de control de tolerancias, se presenta un sistema para la adquisición de imágenes tridimensionales de alta precisión. El sistema produce, basado en el modelo computacional de la pieza, un conjunto de puntos de vista (posición y orientación) que debe tomar el sensor para así digitalizar la superficie o pieza 'en las mejores condiciones de precisión. Se utilizó un sensor de profundidad auto-sincronizado montado en una MMT. (Texto tomado de la fuente)
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it