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Record W356343900 · doi:10.1186/cc2891

Jeff Mann's EM Guidemaps

2004· article· pt· W356343900 on OpenAlexaff
Stuart F. Reynolds, Sangeeta Mehta

Bibliographic record

VenueCritical Care · 2004
Typearticle
Languagept
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMount Sinai HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Dr Mann's website is a clinically oriented resource targeted at emergency medicine physicians, intensivists, hospitalists and any other physicians who provide acute care. It might also be helpful for physicians in training. The website is plain and uncomplicated, allowing quick and easy access to very practical information regarding various clinical conditions. The guidelines are subdivided into the following: advanced cardiac life support, critical procedures, medical, obstetrical–gynecological, toxicology, trauma, and neuro-ophthalmology. Some examples under medical guidemaps are electrolyte abnormalities, gastrointestinal bleeding, diarrhea, and atrial fibrillation. There are many general topics that would be of interest to critical care physicians that are missing, such as shock, pneumonia, and respiratory failure. Information in each guideline is presented in point form, organized in sections. The hypokalemia guidemap, for example, has sections labeled 'introduction', 'risk factors', 'clinical presentation', and 'medical decision making and treatment'. The appendix includes information on electrocardiogram (ECG) changes and potential causes. The focus of each guidemap is on clinical diagnosis and treatment. Also included on the main page are chest pain tutorials including ECGs, and a 'soap box' section where many various emergency medicine and critical care topics are reviewed to various degrees. Each guidemap comes with its own URL, allowing each map to be saved as a favorite. The website is best viewed with Netscape browser, but we have had no difficulty viewing with Internet Explorer. All of the guidemaps are written by Dr Mann, and he provides a disclaimer that the guidemaps reflect his personal approach to problem solving and should not be regarded as a standard of care. It is not clear that the guidemaps are evidence based because the source of his information is not clear, and no references are provided. Dr Mann will not be adding further guidemaps but plans to revise them if they become outdated. However, no information regarding the date of the most recent update is provided.

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)0.001
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.364
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.3640.276

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 head0.239
GPT teacher head0.572
Teacher spread0.333 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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