Bibliographic record
Abstract
Abstract Platelets are small anucleate blood cells that are produced by megakaryocytes in the bone marrow, and also likely in the lungs. Due to their small size relative to other circulating blood cells, platelets are displaced from the center of vessels and circulate close to the vessel wall. This position near the vessel wall allows platelets to rapidly respond to vascular injuries and contribute to hemostasis, the physiological process that stops bleeding. Following vascular damage, exposure of subendothelial matrix proteins to the blood initiates the first wave of hemostasis: platelet adhesion, activation, and aggregation. Activated platelets also play important roles in secondary hemostasis by binding coagulation factors and enhancing cell‐based thrombin generation at sites of vessel injury. Beyond hemostasis, platelets have been demonstrated by recent studies to play critical roles in a range of biological processes including inflammation, immune regulation, atherosclerosis, lymphatic vessel development, angiogenesis, liver regeneration, and tumor metastasis. Key Concepts Platelets are small, versatile blood cells that are produced by megakaryocytes in the bone marrow. Platelets circulate in the blood for 7–10 days before being cleared. The most well‐appreciated role of platelets is their role in haemostasis. Abnormalities in platelet number and function can cause either bleeding or thrombotic disorders. Platelets have been implicated in a variety of physiological and pathological processes including inflammation, immune regulation, atherosclerosis, angiogenesis and lymphatic vessel development, liver regeneration and tumour metastasis.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.180 | 0.125 |
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".