87th Annual Meeting of the American Thyroid Association October 18–22, 2017, Victoria, British Columbia, Canada
Bibliographic record
Abstract
W e are excited that the 87th annual meeting of the American Thyroid Association (ATA) is almost upon us!On behalf of the Program Committee, we look forward to welcoming attendees and their guests to the annual meeting that will be held October 18-22, 2017, at the Fairmont Empress and Victoria Conference Centre in Victoria, British Columbia, Canada.Over this past year, the committee, comprised of experts from all thyroid disciplines, has thoughtfully worked to put together a program featuring the latest advances in basic, translational, and clinical thyroidology.This year, the program will not only feature stimulating plenary lectures, symposia, discussion-debates, and meetthe-professor sessions that past attendees have highly enjoyed, but also debut several new session formats that we hope will be of great interest to conference attendees.Of particular interest, the annual meeting committee this year is proud to debut a concurrent pediatric thyroid satellite meeting, the ATA Pediatric Thyroid Forum, entitled ''Update on Pediatric Thyroid Disease 2017-Current State and Future Directions'' to be moderated by Andrew Bauer, MD.We hope that this novel satellite meeting will be a unique recurring opportunity for our pediatric thyroid colleagues to engage in sessions with specific relevance to their clinical and research interests.The pre-meeting activities will begin with the ATA Advanced Endocrine Neck Ultrasound Course, which will run in parallel with the E. Chester Ridgway Trainee Conference for clinical, surgical, pediatric endocrine, and basic science trainees.That evening, the annual meeting will kick off with a Year in Thyroidology review featuring three leaders to discuss the top recent manuscripts published in basic, clinical, and surgical thyroidology.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.365 | 0.205 |
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".