De Nederlandse Grondwet geëvalueerd; anker- of verdwijnpunt?
Bibliographic record
Abstract
Cancer associated thrombosis (CAT) including venous and arterial thromboembolism (VTE and ATE respectively), as well as subclinical hypercoagulable states pose a risk of serious morbidity and mortality and poor outcomes in cancer patients. It is increasingly clear that rather than being unspecific aftermaths of tumour growth, CAT is causally linked to the molecular phenotype of cancer cells and its genetic and epigenetic oncogenic drivers. Emerging data suggest that mutational events and factors modifying chromatin architecture in cancer cells influence the repertoire of genes (coagulome) the products of which may interact with the hemostatic system either directly or through modification of inflammatory system or release of cancer-related prothrombotic extracellular vesicles (EVs). Single cell transcriptomic analysis of brain tumours reveals the coexistence of multiple coagulant mechanisms associated with different cancer cell subpopulations and sites. These observations may suggest that a multipronged, biologically based approach may be needed to effectively predict and manage CAT.
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 | 0.021 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".