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Record W2613630823 · doi:10.1177/1203475417709194

Maintenance of Certification: What’s to Know

2017· article· en· W2613630823 on OpenAlexaboutno aff
Pat Rich

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsnot available
Fundersnot available
KeywordsMaintenance of CertificationMedicineCertificationLicensureMedical educationSection (typography)Management

Abstract

fetched live from OpenAlex

The Maintenance of Certification (MOC) Program administered by the Royal College of Physicians and Surgeons applies to all Fellows of the Royal College including dermatologists. It is mandatory for those who wish to maintain their fellowship in the Royal College and can be critical for maintaining licensure requirements. Residents can take advantage of the program before becoming Fellows of the Royal College. Fellows and MOC Program participants in the Royal College MOC Program must complete a minimum of 400 credits during a 5-year cycle and a minimum of 40 credits in each year of the cycle. Credits are available for a wide range of CPD activities which the Royal College divides into three sections in its MOC Framework: Section 1, group learning; Section 2, self-learning; and Section 3, assessment. Many activities associated with involvement in Canadian Dermatology Association activities or involvement with the Journal of Cutaneous Medicine and Surgery (JCMS) are eligible for MOC Program credits. Failure to satisfactorily meet the requirements of the MOC Program in a 5-year cycle can result in loss of Fellowship in the Royal College.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.309
Teacher spread0.260 · 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 teacher head, not a consensus.

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

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

Citations1
Published2017
Admission routes1
Has abstractyes

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