Measurement of various retrocardiac thoracic indices in Labrador dogs using computed radiography (CR)
Bibliographic record
Abstract
Present study was conducted on client owned 24 healthy and cardiac affected Labrador dogs of either sex; the animals were divided into two groups each containing 12 animals.In group-I, healthy dogs that were free from cardiothoracic disease and in group-II, cardiac affected dogs (diagnosed by clinical signs, biochemical test and electrocardiography). Quantitative assessment of various radiographic cardiothoracic indices was done in both the groups by using 500mA X-Ray machine (EP-CORSA 40 kw/Epsilon Health care solutions Pvt.Ltd).A complete radiographic examination of the thorax was done in right lateral (RL) or left lateral (LL) and dorso-ventral (DV) or ventro-dorsal (VD) views by including thoracic inlet, manubrium, all the thoracic vertebrae, complete cardiac silhouette, sternum and diaphragm.The radiographs were evaluated quantitatively and abnormal radiographs having severe lung effusions and cardiac effacement were excluded from the study tracheal (TrD) and Thoracic inlet (ThID) diameter, cardiac inclination angle, cardiosternal contact, cardio-phrenic contact, caudal vena cava (CVC) diameter, costo phrenic angle, tracheal inclination angle, distance between the thoracic wall and the cardiac silhouette, thoracic depth (TD), width (TW) and thoracic length (TL) based on findings it can be concluded that all the indices did not show any significant change in both the groups as well as comparable radiographic views in all the indices.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".