A Case of Multilobular Tumor of Bone in a Young Small Breed Dog
Bibliographic record
Abstract
2歳齢、避妊雌、体重4.0 kgのマルチーズが左側頭部腫瘤および進行性の右前肢不全麻痺を主訴に東京大学附属動物医療センターに来院した。MRI検査によって、頭蓋内へと成長し脳を圧迫する腫瘤が確認された。外科的に腫瘤を摘出し、腫瘤は骨の多葉状腫瘍と診断された。術後の経過は良好であったが、早期に再発が認められたため再度外科摘出を実施した。3度目の手術後からは放射線療法を開始し、腫瘍の原発巣には有効であったと考えられた。しかしながら放射線療法の終了した時点で肺転移が認められ、転移に対する抗癌剤療法は効果がなく、初回手術から約10ヵ月後に安楽死となった。
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".