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Record W4413398824 · doi:10.53350/pjmhs02024186.ed1

Global Evaluation of Medical College Admission: The Policies and Procedures

2024· article· en· W4413398824 on OpenAlexaboutno aff
Syed Zulfiqar Ali Shah, Pir eh, Dua Bukhari, Sahar Fatima Sirhindi, Raheela Kumbhar

Bibliographic record

VenuePakistan Journal of Medical & Health Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicMedical Education and Admissions
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationBusinessMedicine

Abstract

fetched live from OpenAlex

The medical & dentistry college entrance test is an annual paper-based examination administered in Pakistan and overseas for those seeking undergraduate medicine and dentistry studies in Pakistan. It is required for admittance to all professional and dentistry institutions, public as well as private, in Pakistan.The Pakistan medical and dental council conduct the medical entrance test yearly. In 2020, the examination replaced the previously administered regional medical admission assessments. In 2023, after the demise of the PMC, the examination is elevated to a regional level, necessitating every province to select a college or university to administer the MDCAT exam. In the USA and some medical schools in Canada as well, medical education occurs at the level of postgraduate study, necessitating a first degree with an appropriate cumulative grade point average for admission into a medical education program

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)0.021
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.087
GPT teacher head0.530
Teacher spread0.443 · 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.

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
Published2024
Admission routes1
Has abstractyes

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