Poster Session 3: Cost-Effectiveness; HCV: Diagnostics, Epidemiology, and Natural History
Bibliographic record
Abstract
mal protocol to define candidacy for down-staging, 27.5% did not. No specific threshold in terms of number and size of tumors was used to define candidacy for down-staging by 42.5% of programs. Portal vein tumor thrombus was not a contra-indication to down-staging for 27.5% of programs. Most programs (84%) did not use a specific alpha fetoprotein (AFP) threshold to determine down-staging candidacy. For those programs which used an AFP threshold, this ranged from 400 to 5000. Almost all programs (97%) used the Milan Criteria to define down-staging success. A period of observation to demonstrate stability after successful down-staging was not required by 30%. When a period of stability was required, this ranged from 1 to 9 months, with 3 months being most common. Most programs considered trans-arterial radio-embolization as a down-staging modality, but chemo-embolization remained the dominant modality in all but a single program. Overall, most respondents expressed neutral feelings towards each of these practices, although 25% felt that use of the Milan Criteria to define successful down-staging was too restrictive. Conclusions: Practices vary across the country in terms of defining candidacy for down-staging, and for defining success of down-staging. Despite the range of practices, most individual practitioners reported comfort with the practice pattern at their own institution. Data on the efficacy of down-staging should be interpreted in the context of this wide range of down-staging practices.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".