Bibliographic record
Abstract
TRAS OBTENER PLATA EN LA COMPETENCIA REGIONAL EN AUSTIN, TEXAS, LOS ALUMNOS DE LA FACULTAD DE INGENIERIA ERNESTO QUETZALLI MAGANA, ALONSO MAGOS, MARIO FERNANDO CORDOVA, ENRIQUE AVILA Y JULIO CESAR VILLANUEVA SE PREPARAN PARA REFRENDAR EL ORO GANADO POR LA UNAM EN EL PETROBOWL DEL ANO PASADO. EN ESTA OCASION LA JUSTA SE REALIZARA EN SEPTIEMBRE EN DUBAI. CON ESTE OBJETIVO, CADA SEMANA LOS JOVENES SOSTIENEN REUNIONES CON SU MENTOR, FERNANDO SAMANIEGO VERDUZCO, Y CON LOS COACHES CESAR LUIS MEZA OROZCO Y EDER CASTANEDA CORREA, EXALUMNOS CON EXPERIENCIA EN ESAS JUSTAS. LOS CONTENDIENTES PUMA –DE LA CARRERA INGENIERIA PETROLERA– RECORDARON QUE LA UNAM HA PARTICIPADO EN ESTE CERTAMEN MUNDIAL DESDE 2010. AUNQUE TRES DE ELLOS FORMARON PARTE DE LA ESCUADRA CAMPEONA DE 2015, LA ETIQUETA DE MONARCA NO PESO EN AUSTIN, DONDE ENFRENTARON A 26 UNIVERSIDADES DE CANADA, ESTADOS UNIDOS Y MEXICO. CONFIADOS EN SUS CONOCIMIENTOS Y PREPARACION, DESEAN SER BICAMPEONES Y SEGUIR LOS PASOS DE LAS UNIVERSIDADES ESTADUNIDENSES DE OKLAHOMA (QUE LOGRO ESTA PROEZA EN 2007-2008) Y LA DE MINAS DE COLORADO (2012-2013). LAS SESIONES DE ENTRENAMIENTO SE PROLONGARAN HASTA SEPTIEMBRE Y CONSTARAN DE REVISIONES DE PAPERS , LIBROS SOBRE HISTORIA DEL PETROLEO, DOCUMENTOS TECNICOS, NOTICIAS, ESTADISTICAS DE CONSUMO Y ASUNTOS RELACIONADOS CON LA PRODUCCION DE HIDROCARBUROS. EL PETROBOWL 2016 FORMA PARTE DE LA ANNUAL TECHNICAL CONFERENCE AND EXHIBITION Y SE HARA DEL 24 AL 27 DE SEPTIEMBRE EN DUBAI.
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 | 0.003 | 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 | 0.011 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".