Medical Scope：1型糖尿病患者における移行期医療の現状
Bibliographic record
Abstract
日本は1 型糖尿病の発症率が低いために治療に慣れている小児科医は少ない。一方，成人領域でも大部分の糖尿病患者は2 型糖尿病であるため1 型糖尿病患者の治療に十分な時間を割くことができない現状がある。思春期患者は血糖コントロールが悪化することも多く，特有の心理的な問題に対応するのは小児科医のほうが合うことも多い。欧米では小児科と内科とを併診する期間を設けてトランジションすることを提唱している。小児科医と糖尿病内科医とが患者会や糖尿病キャンプなどで普段から“顔のみえる連携”を築き，スムーズに小児科から内科へ移行できる関係を作っておくことが重要である。
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".