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Record W2276927813

EXAMEN DE POSGRADO ENLAZA CU, JURIQUILLA Y ALBERTA

2008· article· es· W2276927813 on OpenAlexaboutno aff
María Elizabeth García Plascencia, Gustavo Blancas Acevedo, Leonardo Huerta

Bibliographic record

VenueGaceta UNAM (2000-2009) · 2008
Typearticle
Languagees
FieldMedicine
TopicEthics and bioethics in healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

EN LA UNAM SE REALIZO UN EXAMEN DOCTORAL A TRAVES DE UNA VIDEOCONFERENCIA QUE ENLAZO TRES PUNTOS: LA SALA DEL CONSEJO DE LA COORDINACION DE ESTUDIOS DE POSGRADO, EN CIUDAD UNIVERSITARIA; EL INSTITUTO DE NEUROBIOLOGIA, CAMPUS JURIQUILLA, QUERETARO, Y LA UNIVERSIDAD DE ALBERTA, CANAD , DESDE DONDE LA MAESTRA Y HOY DOCTORA EN CIENCIAS BIOMEDICAS, MARIA ELIZABETH GARCIA PLASCENCIA, PRESENTO SU INVESTIGACION MEDIADA POR CITO ESQUELETO, SENALIZACION DE LA FILAMINA COMO INTEGRADOR DE MECANISMOS Y SENALES CELULARES. LOS SINODALES ASIGNADOS POR EL COMITE ACADEMICO FUERON LOS SIGUIENTES INVESTIGADORES: EN EL CAMPUS JURIQUILLA, COMO PRESIDENTE: MAURICIO DIAZ MUNOZ, DEL INSTITUTO DE NEUROBIOLOGIA; EN CIUDAD UNIVERSITARIA, COMO VOCALES: RUY ENRIQUE PEREZ MONTFORT, DEL INSTITUTO DE FISIOLOGIA CELULAR; ANGEL ZARAIN HERZBERG, DE LA FACULTAD DE MEDICINA, Y GLORIA ACACIA BENITEZ KING, DEL INSTITUTO NACIONAL DE PSIQUIATRIA; Y, POR ULTIMO, EN LA UNIVERSIDAD DE ALBERTA, COMO SECRETARIO DEL JURADO Y TUTOR DE MARIA ELIZABETH GARCIA: DAVID JOHN JAY GOMEZ-FARIAS, DEL INSTITUTO NACIONAL DE CARDIOLOGIA. GUSTAVO BLANCAS ACEVEDO, JEFE DE LA UNIDAD DE DESARROLLO DE SISTEMAS, DE LA COORDINACION DE ESTUDIOS DE POSGRADO, LOCALIZADA EN CU, DIJO QUE AUNQUE SON COMUNES LAS VIDEOCONFERENCIAS EN LA UNAM, PARA LA REALIZACION DE ESTA SE DEBIERON SUPERAR ALGUNAS DIFICULTADES TECNICAS, LAS CUALES DETALLA.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.057
GPT teacher head0.336
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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