Bibliographic record
Abstract
Patients and society in general expect the highest commitment to excellence when it comes to their health care. Specialty board certification is a process that demonstrates an individual practitioner’s commitment to excellence. In addition, many insurance panels as well as hospitals require board certification for their doctors in order to be credentialed. Board certification is not mandatory and thereby differs from state licensure. This specific credential, however, is the “gold standard” when it comes to the practice of orthopedic surgery in the United States. The American Board of Orthopaedic Surgeons (ABOS) is a separate organization from the American Academy of Orthopaedic Surgeons (AAOS) and is charged with certifying that orthopedic surgeons have met certain quality standards in training, education, and practice. The ABOS certifying examination has 2 sections—a written (Part I) and oral examination (Part II). The ABOS is designed to evaluate the initial and continuing qualifications and knowledge of orthopedic surgeons. The examination is statistically valid only as a pass/fail test. The test is not designed to compare percentile scores among residents or throughout different years. To remain accredited, orthopedic residency programs must have a pass rate of at least 75% on the ABOS Part I examination for residents taking the test for the first time. In order to sit for the board examinations, a candidate must be a graduate of an accredited 4-year medical school, have successfully completed a minimum 5-year accredited residency program in the United States or Canada (with appropriate documentation), and the final 24 months of training must have been obtained from a single training program. In addition, all applicants must have an unrestricted license or a government work permit where a license is not required.
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 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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.290 | 0.156 |
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".