ALUMNOS DE INGENIERÍA, A CERTAMEN DE LA NASA. CANSAT COMPETITION, EN TEXAS
Bibliographic record
Abstract
EL EQUIPO REPRESENTATIVO DE LA UNIVERSIDAD NACIONAL, CANSAT SIQUEIROS, PARTICIPARA EN EL CERTAMEN INTERNACIONAL CANSAT COMPETITION, ORGANIZADO POR LA NASA Y OTRAS ASOCIACIONES, EN TEXAS, ESTADOS UNIDOS. LOS UNIVERSITARIOS LOGRARON CLASIFICARSE A LA JUSTA ENTRE LOS 12 PRIMEROS LUGARES DE ENTRE 81 PROVENIENTES DE PAISES COMO RUSIA, ESTADOS UNIDOS, POLONIA, ITALIA, SUIZA, INDIA Y CANADA. LA COMPETENCIA, A REALIZARSE DEL 9 AL 11 DE JUNIO, CONSISTE EN GENERAR LA ELECTRONICA PARA LOGRAR LA TELECOMUNICACION ENTRE UN SATELITE DEL TAMANO DE UNA LATA Y UNA ESTACION TERRENA, Y CONOCER, EL DIA DEL CERTAMEN, DATOS COMO VELOCIDAD, PRESION Y TEMPERATURA DEL AMBIENTE, DE MANERA REMOTA. ALEJANDRO FARAH SIMON, ASESOR DEL GRUPO DE LA FACULTAD DE INGENIERIA E INVESTIGADOR DEL INSTITUTO DE ASTRONOMIA, SENALO QUE LOS OBJETIVOS SON LA FORMACION ACADEMICA DE LOS ALUMNOS DESDE LA PERSPECTIVA DE LA INGENIERIA Y DE LA FISICA, APRENDER A TRABAJAR EN EQUIPO, COMPETIR INTERNACIONALMENTE Y FAMILIARIZARSE EN LA GESTION DE PROYECTOS. EL CAPITAN DE LA ESCUADRA, JOSE ADRIAN JUAREZ VAZQUEZ; LA INTEGRANTE DEL MISMO, YOZADATH GONZALEZ RIVERON, Y ALEJANDRO FARAH DAN DETALLES DEL PROYECTO CON EL QUE PARTICIPARAN. LOS DEMAS INTEGRANTES SON ALFREDO GREGORIO ALDANA, OSCAR URIEL VENEGAS, EDUARDO SALAZAR PEREZ, KARLA ANGELICA GARCIA, JUAN CARLOS DAMIAN, YONATHAN URIEL FLORES Y CUITLAHUAC AZAEL HERNANDEZ. CONTINUA LA CAMPANA EN FONDEADORA PARA RECAUDAR DINERO Y CUMPLIR LA META DE VIAJAR A TEXAS. EN HTTPS://FONDEADORA.MX/PROJECTS/SE-PARTE-DE-LA-MISION-CANSAT-SIQUEIROS-2017 CUALQUIER PERSONA PUEDE HACER APORTES, O BIEN MEDIANTE LA SOCIEDAD DE EXALUMNOS DE INGENIERIA.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.018 |
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".