Bibliographic record
Abstract
Multiple myeloma is responsible for approximately eight percent of all canine hematopoietic tumors and is accountable for 3.6 percent of all neoplasias affecting the bones of dogs. It is a neoplasia of the plasma cells in the bone marrow. Classically, diagnosis of canine multiple myeloma is made based on the presence at least two of the following four criteria: 1) bone marrow plasmacytosis of greater than five percent, 2) radiographic evidence of osteolysis, 3) monoclonal gammopathy on serum or urine electrophoresis, and 4) Bence-jones proteinuria. Many of the clinical signs and complications associated with multiple myeloma are caused by the overproduction of the M component (immunoglobulins) by neoplastic plasma cells. In dogs, the immunoglobulins produced excessively are IgG, IgA, and IgM (macroglobulinemia). If there is only abnormal over-production of the immunoglobulin light chains, Bence-jones proteinuria is observed. In rare cases, such as a nonsecreting multiple myeloma, some of the criteria for diagnosis may be absent. Diagnosis is then made by the extent of bone marrow plasmacytosis and the presence of neoplastic plasma cells.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".