Libro del XIV Congreso Nacional de Ciencia y Tecnología - APANAC 2023
Bibliographic record
Abstract
La Asociación Panameña para el Avance de la Ciencia (APANAC) se complace en anunciar su XIX Congreso Nacional de Ciencia y Tecnología que se llevará a cabo del 26 al 29 de septiembre de 2023; y tiene como idea central “Panamá, Hub de las Ciencias”. Este lema proyecta la visión de país que aspiramos a través del desarrollo de la ciencia y nuestra capacidad instalada para la transferencia de conocimiento. Para ello vamos a promover nuevos canales a nivel internacional, nacional, regional, provincial y municipal que nos permitan determinar las demandas reales de nuestra sociedad y de la región. Damos la bienvenida a todos los participantes y los invitamos a ser actores dinámicos en los procesos de cambio que tanto requiere nuestro ecosistema, pensado en construir alianzas de cooperación y trabajo de Investigación + Desarrollo + Innovación (I+D+i), así como conocimientos tecnológicos utilizados a nivel mundial.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".