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Record W2031598581 · doi:10.5489/cuaj.11022

Putting a face to a name: introducing CUA Staff

2011· article· en· W2031598581 on OpenAlexaffvenue
Sender Herschorn

Bibliographic record

VenueCanadian Urological Association Journal · 2011
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsCanadian Urological Association
Fundersnot available
KeywordsFace (sociological concept)PsychologyComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

CUA has had some challenging months, but we are very pleased with our staff and appreciate the loyalty they show toward the Association! I would like to introduce them to you: GiGi Nguyen is the Coordinator of Member Services & Finances. She is responsible for the accounting and financial aspects of CUA, as well as the membership dues and database. She works with Treasurer, Dr. Stuart Oake. She can be reached at gro.auc@neyugn.gnoudh. Nadia Pace is Project Manager in the Office of Education. With Tiffany’s direction, she meticulously manages meetings for the Office of Education (OE), notably the Kidney Cancer Forum and the ever-popular CSUR meeting as well as the annual laparoscopy courses given prior to the Annual Meeting. She also serves as Industry Liaison and supervises all communications with CUA Annual Meeting exhibitors, as well as handles all requests related to the exhibits. Her email address is gro.auc@ecap.aidan. Tiffany Pizioli has been Director of the Office of Education since June 2008. She has created many ground-breaking opportunities with Industry and as a result: the OE thrives financially. Under the direction of the VP Education, Dr. Peter Anderson, she oversees all projects in the OE and works closely with key members of the CUA to better serve their educational needs. She also manages the Continuing Professional Development (CPD) activities with Dr. Francois Benard, Chair of the CPD Committee. Since Fall 2010, she has become the point person for the Annual Meeting in that she presides over the budget and all logistical aspects of the meeting. She is currently the interim Corporate Office Manager. You can contact her at tiffany. gro.auc@iloizip. Josephine Sciortino is the Editorial Director for CUAJ. She and Dr. Laurence Klotz established CUAJ in 2007. The journal now publishes bi-monthly in its print edition, with early online releases every alternate month at www.cuaj.ca. She manages the complete function of the journal, including author correspondence, editing and website management. In 2009, CUAJ became indexed with Thomson Scientific and has earned an initial impact factor of 0.875. Josephine also edits the CUA Newsletter and manages its coordination. Email her at gro.auc@onitroics.enihpesoj.

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 imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.040
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0180.005
Scholarly communication0.0150.017
Open science0.0050.016
Research integrity0.0060.016
Insufficient payload (model declined to judge)0.0850.075

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 head0.111
GPT teacher head0.400
Teacher spread0.290 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes2
Has abstractyes

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