Perfiles de mercado de las provincias de Canadá
Bibliographic record
Abstract
El proyecto Perfiles de Mercado de las Provincias de Canada consiste en una guia de apoyo para los exportadores colombianos, facilitando la toma de decisiones a partir de un panorama detallado de cada una de las provincias que conforman el pais. En este documento se exponen el perfil demografico, politico, geografico, economico y logistico de cada provincia, donde se encuentra informacion acerca de rutas de acceso, aeropuertos, puertos, zonas francas e infraestructura. Adicionalmente, se evaluan los principales productos importados por cada provincia y sus proveedores mas significativos. A su vez se analizan los diez productos con mayor participacion en las exportaciones colombianas hacia cada provincia de Canada, teniendo en cuenta proveedores, participacion en el mercado, requisitos de importacion, procedimientos de importacion y regulaciones arancelarias.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".