Magnetic Resonance Imaging of Gluteus Medius Muscle Hernia
Bibliographic record
Abstract
Resident, Department of Physical Medicine and Rehabilitation, University of Michigan Assistant Clinical Professor, Department of Physical Medicine and Rehabilitation, University of Michigan. Correspondence: Reina Nakamura, 325 East Eisenhower Pkwy, Ann Arbor, MI 48108. Phone: (734) 936-7175 Fax: (734) 615-6713. Email: [email protected] Author Disclosures: no competing interests, funding or grants provided for the project from any source or financial benefits to the authors. Deanna Brinks and Reina Nakamura. There are no previous presentations of this manuscript. Patient Consent: patient consent via electronic signature was obtained on Michigan Medicine Authorization for Publication of Case Study form. Author Contributions: DB and RN contributed to the writing of the manuscript. RN supervised the project. Data Access statement: Not applicable Ethics Statement: Not applicable
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".