Bibliographic record
Abstract
A six-year-old male intact Labrador retriever with a history of recent importation from Taiwan, heartworm (Dirofilaria immitis) infection, and ?slow-kill (Heartgard?) therapy? of approximate 4 month duration, was presented to the Cornell University Hospital for Animals for multiple episodes of collapse and hematochezia. On initial presentation, the patient was dull, had pale mucous membranes, and an elevated heart rate. Cardiothoracic auscultation revealed crackles in the dorsal lung fields and a right-sided heart murmur (grade IV-VI). Additional diagnostics confirmed the presence of heartworms in the main pulmonary arteries. Treatment with intravenous fluids, pimobendan, sildenafil, doxycycline, metronidazole, prednisone, clopidogrel and supplemental oxygen was implemented. The patient was discharged after a five day hospitalization, with instructions to return after four weeks of strict rest for initiation of adulticidal heartworm treatment. This report highlights relevant clinical findings, diagnostics, and treatment protocol in a dog with clinical heartworm infection.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".