Simulaciones numéricas y con modelo a escala en cielo artificial. Estudio de caso con luz cenital: Instituto Nacional de Educación Física de Cataluña, Ciudad de Barcelona
Bibliographic record
Abstract
Este trabajo presenta parte de la investigación realizada, en el marco de la tesis doctoral de referencia.Se muestran los resultados obtenidos y la metodología de trabajo aplicada para ampliar los datos de cantidad y calidad de luz natural en el caso de sistemas cenitales en arquitectura deportiva.Se resumen los resultados de las simulaciones con modelos a escala con condiciones de luz difusa (cielo artificial) para obtener valores de Factor de Luz Diurna (FLD %), luz directa (heliodón), imágenes fotográficas obtenidas con el proceso HDRI (High Dynamic Range Image), simulaciones numéricas y la comparación con datos obtenidos in situ en el edificio INEFC (Institut Nacional d'Educació Física de Catalunya) de la Ciudad de Barcelona.En las conclusiones se establece la importancia de la evaluación objetiva del campo visual y la conveniencia de la utilización de las imágenes HDRI en modelos a escala para obtener una aproximación acertada en la evaluación del campo visual y al balance de luminancias, para los diferentes usuarios, además de la iluminancia horizontal.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".