Bibliographic record
Abstract
The American College of Surgeon 2023 Annual Clinical Congress October 22-25, 2023 Boston, MA ABSTRACTS for The 9th Annual Sessions of the Scientific Forum The American College of Surgeons SCIENTIFIC FORUM 2023 PROCEEDINGS OF THE 9th OWEN H WANGENSTEEN SCIENTIFIC FORUM 2023 CLINICAL CONGRESS OCTOBER 22-25, 2023 COMMITTEE FOR THE OWEN H WANGENSTEEN SCIENTIFIC FORUM VOLUME IX Ali Tavakkoli, MBBS, FACS Chair Boston, MA Jacqueline Jeruss, MD, FACS Vice-Chair Ann Arbor, MI Consultant Edith Tzeng, MD, FACS Pittsburgh, PA Sherif RZ Abdel-Misih, MD, FACS Stony Brook, NY Suresh Agarwal, MD, FACS Durham, NC Scott C Brakenridge, MD, FACS Seattle, WA Zara Cooper, MD, FACS Boston, MA Emily VA Finlayson, MD, FACS San Francisco, CA Luke M Funk, MD, FACS Madison, WI Kristina A Giles, MD, FACS Scarborough, ME Jeffrey R Gingrich, MD, FACS Durham, NC Alex B Haynes, MD, FACS Austin, TX Toan T Huynh, MD, FACS Charlotte, NC Danielle A Katz, MD, FAS East Syracuse, NY Hiroko Kunitake, MD, FACS Boston, MA Kelly J Lafaro, MD, FACS Baltimore, MD James N Lau, MD, MHPE, FACS Maywood, IL Elise H Lawson, MD, FACS Madison, WI Charles A Leath III, MD, FACS Birmingham, AL Lawrence S Lee, MD, FACS Boston, MA Carlos E Marroquin, MD, FACS Burlington, VT Robert A Meguid, MD, FACS Aurora, CO Melissa Pilewskie MD, FACS Ann Arbor, MI Richard B Rodgers, MD, FACS Carmel, IN Jennifer E Rosen, MD, FACS Washington, DC Jason D Sciarretta, MD, FACS Atlanta, GA Ziad C Sifri, MD, FACS Newark, NJ Eric A Singer, MD, FACS Columbus, OH Jahnavi K Srinivasan, MD, FACS Atlanta, GA Derrick C Wan, MD, FACS Stanford, CA Kasper S Wang, MD, FACS Toronto, ON Jen Jen Yeh, MD, FACS Chapel Hill, NC Brian S Zuckerbraun, MD, FACS Pittsburgh, PA The abstract presentations, dealing with original research conducted by scientific investigators-in-training, are grouped into categories in this section. Alphabetical Index of Sessions Bariatric and Foregut Breast Cardiac Surgery Colon and Rectal Surgery Endocrine Surgery Ethics General Surgery Geriatric and Palliative Care Global Surgery Health Services Research Hepatobiliary and Pancreas High-Impact Clinical Trials and Studies Military Neurosurgery Obstetrics and Gynecology Orthopaedic Surgery Otolaryngology Pediatric Surgery Plastic and Maxillofacial Surgery Surgical Education Surgical Oncology Thoracic Surgery Transplantation and Tissue Engineering Trauma, Burn, and Critical Care Urology Vascular Surgery
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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.607 | 0.661 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".