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Record W4230048920 · doi:10.1017/cbo9781107323919

Handbook of ICU Therapy

2014· book· en· W4230048920 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsCritically illMedicineIntensive care medicineCritical illnessMedical emergency

Abstract

fetched live from OpenAlex

This popular handbook provides a practical guide to managing common and important problems in the critically ill patient, as well as sufficient background information to enable understanding of the principles and rationale behind the therapy without overloading the reader with detailed basic science. Fully updated throughout, this third edition of Handbook of ICU Therapy includes new chapters on coagulation problems in the critically ill, airway management, electrolyte and metabolic acid/base problems, optimizing antimicrobial therapy, chronic critical illness, recognizing and responding to the deteriorating patient, ICU rehabilitation, palliative care, neurotrauma, the comatose patient, the obstetric patient, endocrine problems, and care of organ donors. Authored by senior clinicians from both sides of the Atlantic, chapters retain the easy-to-read format of previous editions. Aimed particularly at residents and trainees starting out in the ICU or preparing for postgraduate examinations, this handbook also serves as a valuable refresher for established intensivists, anesthesiologists and surgeons.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.208
Teacher spread0.191 · 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
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
Published2014
Admission routes1
Has abstractyes

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