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Record W4399080222 · doi:10.1201/9781003525486-23

The Boards

2024· book-chapter· en· W4399080222 on OpenAlexaboutno aff
Laith M. Jazrawi, Kenneth A. Egol, Joseph D. Zuckerman

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.290
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0090.004
Open science0.0020.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.2900.156

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.

Opus teacher head0.041
GPT teacher head0.307
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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