REGISTRO DE MODELOS NO-RÍGIDOS EMPLEANDO FUNCIONES DE BASE RADIAL
Bibliographic record
Abstract
Para realizar la alineación de modelos no rígidos se requiere una transformación general que comprende una transformación rígida y una deformación. En este trabajo se presenta un sistema que emplea Funciones de Base Radial para obtener la transformación no-rígida. Si bien el modelado de objetos deformables utilizando estas funciones no es un modelado físico, es computacionalmente más rápido comparado con los métodos basados en física como los sistemas masa-resorte y el análisis por elementos finitos. Este último se toma como referencia ya que permite aproximar la deformación con gran precisión. Se realiza una comparación entre la deformación obtenida con las diferentes funciones de base radial utilizadas: gaussiana, multicuádrica y multicuádrica inversa, y aquella que se obtiene a través del análisis por elementos finitos. El sistema se evalúa sobre cuatro modelos sintéticos.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".