Validation of the Rockall scoring system for outcomes from non-variceal upper gastrointestinal bleeding in a Canadian setting
Bibliographic record
Abstract
瞄准：为预言结果 ofrebleeding，和对一个外科的过程和死亡的需要验证 Rockall 得分系统。方法：我们使用了从与上面的胃肠的流血在加拿大的医院里对待的 non-variceal 的包括 1869 个病人的信息的上面的胃肠的流血和内视镜检查法的登记提取的数据。风险分数被计算并且过去常基于结果分类病人。为每结果，我们使用了 c2goodness-of-fit 测试估计刻度的度，并且造了操作典型曲线的接收装置并且在曲线(AUC ) 下面计算了区域评估得分系统的歧视的能力。结果：为重新流血， c2 goodness-of-fit 测试显示了一可接受为模型合适[c2 (8 )= 12.83， P = 0.12 ] 。为外科的过程[c2 (8 )= 5.3， P =0.73 ] 并且死亡[c2 (8 )= 3.78， P = 0.88 ] ，测试显示出在观察比例之间的稳固的通讯并且预言了可能性。AUC 是 0.59 (95% CI：0.55-0.62 ) 为结果 ofrebleeding 并且 0.60 (95% CI：0.54-0.67 ) 为外科的过程，代表得分系统的一个差的歧视的能力。为死亡的结果， AUC 是 0.73 (95% CI：0.69-0.78 ) ，显示一个可接受的歧视的能力。结论：Rockall 得分系统提供一个可接受的工具预言死亡，但是为重新流血和外科的过程的端点糟糕表现。
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".