Bibliographic record
Abstract
Aumentan exportaciones No tradicionales Durante el 2011, crecieron en 36%, las exportaciones peruanas no tradicionales hacia Estados Unidos. Proyectos regionales se promocionaran en Brasil En el segundo semestre habra un road show en Sao Paolo, para promocionar los proyectos de inversion de los gobiernos regionales que solo en infraestructura suman unos US$ 8,000 millones (Fuente: Diario Gestion, marzo 2012). Peru: Noveno mejor destino para inversion minera La consultoria internacional de la industria minera Behre Dolbear destaco al Peru como el noveno pais en el Ranking de mejores destinos para inversiones mineras en el 2012. Cien firmas de Canada ya tienen Oficinas de negocios en el Peru Alrededor de 100 empresas de Canada ya tienen oficinas de representacion en el Peru y la perspectiva es que siga en aumento, vaticino Louis Pierre Emond, Consejero Comercial de la Embajada de Canada en el Peru.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.004 |
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".