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Record W2159464838 · doi:10.3109/15513815.2011.520252

Differentiating Diseases: The<i>Centrum</i>of Differential Diagnosis in the Evolution of Oslerian Medicine

2011· article· en· W2159464838 on OpenAlexfundno aff
John Pearn

Bibliographic record

VenueFetal and Pediatric Pathology · 2011
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsnot available
FundersMcGill University
KeywordsDifferential diagnosisMedicineMedical historyMedical practiceFamily medicinePathologyRadiology

Abstract

fetched live from OpenAlex

Pivotal to best-practice medicine in the 21st century is the concept of differential diagnosis. What the classification of disease, nosology, is to pathology, so differential diagnosis is to the management of the individual patient. Doctor-patient interaction comprises a sequence that is a six-link chain comprising history-taking; examination; differential diagnosis; tests and investigations; provisional or definitive diagnosis; and finally, management. This chain, however abridged in detail, determines every medical encounter with every patient. This paradigm has gradually evolved since the time of recorded medical history. It had developed its present form, if not its name, in Western medicine and its derivatives, with the publication of Osler's The Principles and Practice of Medicine, in 1892. The term "differential diagnosis" first appeared in the first edition of Herbert French's book, An Index of Differential Diagnosis of Main Symptoms, published in 1913.

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)0.017
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.003
Science and technology studies0.0030.038
Scholarly communication0.0100.019
Open science0.0030.007
Research integrity0.0060.016
Insufficient payload (model declined to judge)0.0020.001

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 head0.053
GPT teacher head0.349
Teacher spread0.297 · 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 designTheoretical or conceptual
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

Citations12
Published2011
Admission routes1
Has abstractyes

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