OC-0397: A LAMP3 single nucleotide polymorphism associated with poor prognosis in breast cancer
Bibliographic record
Abstract
3rd ESTRO Forum 2015 recommendations, yet tuned to the national context and the economic specificities of the country.The first work-packages of the HERO project have objectivized a large variation within European countries in resource availability and in actual needs for radiotherapy provision, related to the national cancer incidence.It also showed a remarkable lack of guidance for radiotherapy planning, with national recommendations mostly duplicating the available recommendations from international organizations or projects, without any attempt to streamline them to the needs of the individual country.Due to the growing awareness of resource limitations and tightening budgets, the weighing of costs and outcomes as performed in economic evaluations have become an integral part of the health resource allocation processes in many countries.Whereas cost-effectiveness data are typically required prior to the introduction of new drugs, they gradually also become more frequently requested to support radiotherapy financing.In order to make valid recommendations, the economic evaluations should however mimic the actual clinical and economic situation of the specific country.Yet, cost-effectiveness data from one country are not necessarily representative for another.The next step within the HERO-project is to develop a costing model that provides accurate radiotherapy resource cost data, based on the available resources, the cancer epidemiology and the radiotherapy practice of individual European countries.Time-driven activity-based costing, a cost-accounting method specifically developed to capture product complexity and variability, is highly suitable for that purpose.A final step will be to evaluate how these cost data can be combined with effectiveness data -derived from international studies but applicable to a country-specific environment -in an adaptable economic evaluation model, relevant for individual countries in the heterogeneous European context.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".