ALUMNOS DE INGENIERÍA, EN POS DEL PETROBOWL INTERNACIONAL. ENFRENTARÁN A ESCUADRAS DE TODO EL MUNDO
Bibliographic record
Abstract
LUEGO DE GANAR LA COPA NORTEAMERICANA DE INGENIERIA PETROLERA PETROBOWL 2017, EN DENVER, COLORADO, ALUMNOS DE LA FACULTAD DE INGENIERIA SE PREPARAN PARA PARTICIPAR EN LA COMPETENCIA MUNDIAL, A CELEBRARSE EL 4 DE OCTUBRE EN SAN ANTONIO, TEXAS. LOS UNIVERSITARIOS, QUE SUPERARON A 24 INSTITUCIONES DE EDUCACION SUPERIOR DE ESTADOS UNIDOS Y CANADA, PRONOSTICARON QUE CONSEGUIRAN UN EXCELENTE LUGAR EN LA PROXIMA CONTIENDA, QUE REUNIRA A ESCUADRAS DE EUROPA, ASIA, AFRICA, EL CARIBE Y SUDAMERICA. LA SEXTETA ESTA INTEGRADA POR CONSTANZA GARCIA SESIN, JULIO CESAR VILLANUEVA ALONSO, CESAR GARCIA MARMOLEJO, ENRIQUE AVILA TORRES, CESAR ALBERTO FLORES RAMIREZ Y MARCOS EMILIANO LOPEZ JIMENEZ, DE SEXTO Y OCTAVO SEMESTRES DE LA CARRERA DE INGENIERIA PETROLERA. EL CAPITAN DEL EQUIPO, ENRIQUE AVILA; ERNESTO MAGANA ARELLANO, ENTRENADOR DEL CONJUNTO PUMA; FERNANDO SAMANIEGO VERDUZCO, ACADEMICO DE LA FACULTAD Y ASESOR DE LA ESCUADRA, Y LOS INTEGRANTES CESAR GARCIA Y CONSTANZA GARCIA, HABLAN DE SU PARTICIPACION EN JUSTAS ANTERIORES, DE LA RECIENTE COPA NORTEAMERICANA Y DE SU PREPARACION Y EXPECTATIVAS PARA LA COMPETENCIA MUNDIAL.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.126 | 0.034 |
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".