155 Successes and Barriers to the Integration of the National System for Incident Reporting-Radiation Treatment (NSIR-RT) Taxonomy into a Provincial Incident Reporting and Learning System
Bibliographic record
Abstract
CARO-ASM 2019V80, V50 and V20 of normal brain, comparably low homogeneity index, and acceptable ipsilateral lens dose.The VMAT plan provided the best dose homogeneity within the target volume and ipsilateral lens sparing, at the expense of increased volume of brain receiving low and moderate doses.The MEB plans provided an improvement in the DVH for the normal brain distal to the PTV and were associated with acceptable ipsilateral lens dose and homogeneity.Use of the hotspot correction feature allowed for an improvement in the dose to the ipsilateral lens and dose homogeneity among the MEB electron plans.Thus, MEB can provide benefits to complicated skin cancer cases, and should be considered against other standard options.
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 | 0.073 | 0.160 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".