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Record W2297865114

SANTORIO SANTORIO - THE PIONEER OF EVIDENCE BASED MEDICINE

2011· article· en· W2297865114 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEvidence-based medicineClinical PracticeClinical judgmentPsychologyVariety (cybernetics)Alternative medicineProcess (computing)Medical educationMEDLINEMedicineFamily medicineComputer scienceLawPolitical scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

In everyday clinical practice there is a constant need for valid information about diagnosis, prognosis, therapy and prevention of a variety of diseases. But there could be a disparity between the physician's diagnostic skills and his clinical judgment if he relies only on traditional sources of information. In the 1992, a group of scientists from the McMaster University in Ontario, Canada attempted to integrate individual clinical expertise with the best external evidence. They propose a process in which systematically finding, appraising and using of contemporaneous research were the base for proper clinical decision. They called this integration of personal clinical knowledge with research evidence - Evidence Based Medicine (EBM) and since then interest in this field has growing exponentially. But 400 years before this important concept emerged a young physician from Koper, named Santorio Santorio (1561 - 1636) argued that a doctor should first rely on sense experience, then on reasoning, and only lastly on authority. Beside his numerous medical inventions he was the first to search justification to his practice by using some vital connection between measured parameters and a person's health state. He could be therefore credited as one of the beginners of modern concepts of science or evidence based medicine.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.705
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0850.000

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 head0.722
GPT teacher head0.561
Teacher spread0.162 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicHistory of Medicine StudiesFrench-language works237,207