Propuesta de implementación de un Sistema Just-In-Time (JIT) en el proceso de Almacenamiento en Frío para Mejorar la Eficiencia y Calidad en una Empacadora de Camarones
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
En el almacenamiento en frío de camarones, los tiempos de espera afectan la calidad, frescura y textura del producto, además de aumentar los costos operativos. Este proyecto propone implementar un sistema Just-In-Time (JIT) en el área IQF antes del almacenamiento, analizando procesos actuales y eliminando cuellos de botella mediante herramientas como el ciclo de Deming. Se busca mejorar la eficiencia operativa, reduciendo tiempos de espera en un 30%, tiempos muertos en un 25% y la tasa de productos rechazados en un 20%. Además, se implementará un control de calidad en temperatura para garantizar condiciones óptimas, aplicando técnicas de mejora continua en la industria acuícola.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| 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