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Record W2188389236

Student Support-Radiochemistry Conference

2009· article· en· W2188389236 on OpenAlexaboutno aff
Wynn A. Volkert, Victoria Wenzel-Lamb

Bibliographic record

VenueUniversity of North Texas Digital Library (University of North Texas) · 2009
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsnot available
FundersOffice of ScienceU.S. Department of Energy
KeywordsRadionuclide therapyEconomic shortageChemistryNuclear medicineRadiochemistryMedical physicsMedical educationLibrary scienceMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

The objectives of this program were to provide bursaries to assist students and post-doctoral fellows being trained in radiochemistry to actively participate in the 18th International Symposium in Radiopharmaceutical Sciences (ISRS-2009) held in Edmonton, Canada on July 12-19, 2009. The critical shortage of scientists in the U.S. trained radiochemistry and imaging scientists is well documented. Scientific meetings such as ISRS-2009 provide an outstanding opportunity to recruit active researchers and trainees in a venue that can inspire and mentor them to join the next generation of radiochemical scientists. The ISRS-2009 was particularly important in this meeting this objective since it is regarded as the premier international meeting that features investigators from across the globe involved in cutting-edge research to synthesize and characterize radiolabeled biomolecules for molecular imaging in living systems. For example, radiochemistry and radionuclide imaging scientists presented new approaches and technologies for synthesis of novel radiolabeled biomolecules with PET (including, 11C and 18F) and SPECT (including 99mTc and 111In). The radiochemical and radionuclide imaging research presented at the ISRS-2009 are directly related to and supportive of the biomolecular radioisotope, radiochemistry and imaging programs in the DOE, Office of Science (BER). There were a total of fifteen students or post-doctoral fellows from a variety of radiochemistry and radionuclide imaging research and educational institutions from across the country (Table 1). Announcements of the SRS/DOE bursary award program were made on the ISRS-2009 meeting web site (www.ISRS18.com), on the SRS website (www.srsweb.org), and via SRS email blasts (announcement Figure 1). The applications were reviewed and awardees selected by a committee composed of Dr. Ken Krohn, University of Washington, Seattle, WA, Dr. William Eckelman, Bethesda, MD,Dr. Michael Welch, Washington University, St. Louis, MO and Dr. Wynn Volkert, University of Missouri, Columbia, MO. The trainees presented results of their work via either an oral or a poster presentation. Abstracts of their papers presented at the ISRS-2009 meeting were published in the Journal of Labelled Compounds and Radiopharmaceuticals, Volume 52, Supplement 1, 2009 (www.interscience.wiley.com/journal/jier), the official Abstract Book for the ISRS-2009 meeting. A copy of the published abstracts presented by each of the fifteen trainees receiving the SRS/DOE Bursary Award is provided on the following pages. The list of the fifteen trainees receiving the 2009 Bursary awards funded by this DOE grant was published in the July 2010 issue of Nuclear Medicine and Biology (Volume 37(5), July 2010) and in the SRS website with appropriate acknowledgement to the U.S. Department [See Appendix 1 for copies of the 15 student/trainee abstracts].

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.591
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0070.002
Open science0.0030.006
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.4090.230

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 head0.017
GPT teacher head0.223
Teacher spread0.206 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2009
Admission routes1
Has abstractyes

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