Tumeurs Médiastinales. Origine et approche diagnostique du thymome chez le chien et le chat: Le thymome chez le chien, le chat et le lapin
Bibliographic record
Abstract
Le thymome est une maladie qui touche preferentiellement les chiens de grande race, les femelles et les individus âges. Des predispositions raciales existent. Ainsi, le berger allemand et le labrador retriever representeraient chacun 28% des cas de thymome canin. Le thymome est incrimine dans 33 a 64% des masses thymiques chez le chien, apparaissant donc come la principale cause. Un grand nombre de syndromes paraneoplasiques d'origine dysimmunitaire sont associes au thymome. Plus de 40% des chiens atteints d'un thymome developpent une myasthenie grave acquise et 13% une seconde tumeur intercurrente au thymome. Dans 86 a 100% des cas, une masse mediastinale craniale est observee sur les radigraphies thoraciques. Un ensemble d'examens complementaires realises de maniere sequentielle, telles la cytologie, la cytometrie en flux et l'analyse histopathologique de biopsies transthoraciques, permet d'optimiser les chances d'etablir un diagnostic avant l'intervention chirurgicale. Un bilan d'extension par un examen tomodensitometrique est fortement recommande avant toute intervention chirurgicale
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".