Bibliographic record
Abstract
Aunque el trigo transgenico no se comercializa aun en Europa, de America del Norte (Estados Unidos y Canada) llegan partidas de trigo mezcladas con maiz y soja OMG (Organismos Modificados Geneticamente), lo que explica que en las harineras, a pesar de hacerse una seleccion y limpieza previa a la molienda, granos de maiz y soja modificados geneticamente acaben mezclandose con los trigos de una partida que estuvo en contacto con ellos. Existen una serie de protocolos, normalizados por la Union Europea, para determinar si un producto es transgenico o no y el porcentaje de su ADN que ha sido modificado. En este articulo, nuestra colaboradora explica estos metodos de analisis y el porcentaje de sensibilidad que poseen. El trigo OMG puede ser una realidad en la proxima campana, ya que todo hace suponer que Estados Unidos, Canada e, incluso Argentina, se recolecten los primeros granos OMG durante este ano. Su llegada a Europa, mientras no se levante la moratoria para mas productos OMG, no puede producirse en teoria, pero seguramente existira el problema de partidas mezcladas de trigos OMG y no modificados. El harinero debera, pues, estar alertado.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".