Bibliographic record
Abstract
It is hard to imagine that I was President of the AAPM over a decade ago. Having the opportunity to volunteer for the AAPM over my professional career has been a very gratifying and fulfilling experience. My initial interactions with the AAPM were established through the Education Council, where I became active in the summer school subcommittee. There, I connected with former AAPM President Gary Barnes, a great mentor who guided me to become the Scientific Director of the 1991 summer school in Santa Cruz, California, “Specifications, Acceptance Testing, and Quality Control of Diagnostic X-ray Imaging Equipment.” With help from Gary and former AAPM President Robert Gould, this was a well-attended and successful event that propelled me to participate even more in AAPM activities. During the mid-1990s, I became involved in the informatics revolution at UC Davis with the implementation of a “filmless” radiology department. This experience led to another AAPM summer school in 1999 at Sonoma State University, “Practical Digital Imaging and PACS” as Scientific Program Director along with co-directors Larry Filipow and Kathy Andriole. Both summer school events firmly established my presence within the AAPM over the next decade, leading to a 3-year term on the AAPM Board as an at large member from 2004 to 2006, as vice-chair of the Education Council from 2006 to 2008, and as chair in 2009. Several months into 2009, I was nominated as a candidate for President of the AAPM… and was elected to the “Presidential Chain” from 2010 through 2012. As President, I followed Mike Herman and preceded Gary Ezzell, and was grateful for their camaraderie, friendship, and leadership. I fondly remember other members of the Executive committee including Secretary John Gibbons, Treasurer Janelle Molloy, and of course Executive Director Angela Keyser. Of note during these years, the 2012–2014 initiative for Medical Physics clinical residencies demanded attention, where a joint major effort was initiated between the AAPM and RSNA to establish new Diagnostic Imaging residencies. In conjunction with the Council on Radiation Control Program Directors (CRCPD), the Qualified Medical Physics (QMP) registry was begun. Also, in response to radiation overdose incidents published by the New York Times in 2008–2010, the AAPM formed a working group on Computed Tomography (CT) to develop and publish consensus protocols for various CT exams and equipment, “Notification” and “Dose Alert” recommended values for implementing NEMA XR-25 CT Dose Check, and a CT terminology lexicon—all of which have been continuously available and still evolving for the imaging community and public access through the AAPM website. Without doubt, the highlight of my presidential year occurred in Vancouver, British Columbia, where I had the opportunity to oversee the Joint AAPM/COMP annual meeting—a very lively and exciting event that had beautiful surroundings, great weather, and outstanding educational, scientific, and professional sessions. The Plenary Presidential symposium was entitled, “The Future of Medical Physics Research: Challenges and Opportunities,” organized with the great assistance of former President Bill Hendee, and featuring five AAPM leaders including John Boone, Rebecca Fahrig, David Rogers, George Starkschall, and Per Halvorsen, speaking in front of a packed auditorium and emphasizing the importance of medical physics research to ensure the innovation and creativity of the medical physics profession—messages that are even more crucial and important today.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.393 | 0.425 |
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".