A quarter of a century of specialization in medical oncology in Slovenia
Bibliographic record
Abstract
Sistemsko zdravljenje dokazano izboljša preživetje številnih bolnikov z rakom. Nabor protirakavih zdravil se je v zadnjih desetletjih močno povečal, z njimi zdravimo več kot polovico obolelih. Specifičnost bolezni, specifičnost zdravljenja in zdravil, ki imajo pogosto zelo ozko terapevtsko okno, so zahtevale razvoj nove, od klasične interne medicine ločene specializacije, internistične onkologije. Specializacija iz internistične onkologije je kot samostojna veja specializacije iz interne medicine v Sloveniji priznana od leta 2000. Pojavnost raka v Sloveniji narašča, vse več je bolnikov, ki potrebujejo tudi sistemsko zdravljenje in obravnavo pri internistu onkologu. Žal pa skladno z rastjo števila bolnikov ne raste tudi število internistov onkologov, premajhne postajajo tudi obstoječe prostorske zmogljivosti.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".