Assessing for Student Success and a Target Class Average: Balancing two grade-related goals facing university instructors and teaching assistants
Bibliographic record
Abstract
Increased use of chest computed tomography (CT) as well as improvements in CT resolution has led to increased detection of subcentimeter pulmonary nodules. Although the majority of these nodules are benign in etiology, a subset will harbor bronchioloalveolar carcinoma. The diagnosis of malignancy in this setting can be challenging to radiologists, surgeons, and occasionally pathologists as well. The challenge is compounded by a lack of knowledge about the natural course of these lesions--specifically, whether they represent life-threatening aggressive malignancies or indolent lesions of little or no consequence. Given the relative infrequency of these abnormalities, it will be essential to establish a sufficiently large database, to organize multi-institutional registries, and to collaborate on correlative studies. Only in this way will we be able to determine the clinical and molecular characteristics of these lesions and thus hopefully gain insight into their clinical relevance.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".