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Record W4416177080 · doi:10.63838/001c.146908

The importance of case reports and mini reviews

2025· article· en· W4416177080 on OpenAlexaboutno aff
Stephen Yip

Bibliographic record

VenueCanadian Journal of Medical Specialties · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Process (computing)CraftCase presentationFocus (optics)Ideal (ethics)

Abstract

fetched live from OpenAlex

I wanted to take a moment to highlight the contribution of case reports to the pathology field.These "n of one" reports frequently focus on unusual presentation of common disease or rare entities, as in this issue's case of plexiform fibromyxoma presenting in the distal small bowel.Case reports serve as reminder for practicing pathologists to be mindful of such entities but also often provide a port of entry to academic publication for trainees or novice practitioners.Their inclusion, along with more traditional papers, provide an important sharing of experience and expertise with our Canadian colleagues.Along the same vein, I want to encourage the submission of "mini reviews" that provide a succinct and practical discourse on a topic of interest to our pathology community.These offer an opportunity to introduce new and cutting-edge topics, unlike the more deeply researched full papers, on pathology, molecular diagnostics, resident training, and continued education.They can also highlight issues that are unique to the Canadian pathology community.Mini reviews are ideal for trainees, to craft and to digest, as part of their education and offer more seasoned pathologists easy to process information from specialties outside of our daily practice.

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)0.143
metaresearch head score (Gemma)0.171
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1430.171
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.477
GPT teacher head0.492
Teacher spread0.015 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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