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Record W2121930974 · doi:10.12968/gasn.2007.5.8.27387

Physical assessment in gastroenterology. Performing a rectal examination

2007· article· en· W2121930974 on OpenAlexaff
Fiona Hibberts, Christine Bushell

Bibliographic record

VenueGastrointestinal Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicinePhysical examinationRectal examinationPatient assessmentVital signsNursing assessmentNursingMEDLINESurgeryInternal medicine

Abstract

fetched live from OpenAlex

The role of the specialist nurse continues to develop and it of vital importance that new knowledge and skills accompany the transition. Increasingly, specialist nurses need to swiftly and accurately assess, examine, diagnose and treat patients autonomously. Part one of this two−part series provided an overview of a systematic guide to abdominal assessment, guiding the practitioner towards a diagnosis and ultimately a treatment plan. The article propagated the importance of ensuring a full history is taken before any physical assessment. Part two will now examine another important physical assessment: rectal examination. Rectal examination is a vital part of abdominal examination as it can provide vital clues to the diagnosis of the patient. In conclusion, it is important that nurses gain the advanced assessment skills needed to perform physical assessment in patients, thus ensuring quality care of the patien

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.007

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 head0.013
GPT teacher head0.318
Teacher spread0.305 · 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 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
Published2007
Admission routes1
Has abstractyes

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