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Record W4317566499 · doi:10.2478/macvetrev-2023-0011

The Art and Science of Consultations in Bovine Medicine: Use of Modified Calgary – Cambridge Guides, Part 2

2023· article· en· W4317566499 on OpenAlexaboutno aff
Mandi Carr, Roy N. Kirkwood, Kiro Petrovski

Bibliographic record

VenueMacedonian Veterinary Review · 2023
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClosing (real estate)Process (computing)Outcome (game theory)Engineering ethicsPsychologyMedical educationMedicinePublic relationsEngineeringComputer scienceBusinessPolitical science

Abstract

fetched live from OpenAlex

Abstract This article, part 2 of a 2-part series, describes the next two steps in the application of the Modified Calgary-Cambridge Guides (MCCG) to consultations in bovine medicine, ‘explanation and planning’, and ‘closing the consultation’, and introduces concepts that are associated with all the components of the guide, ‘building the relationship with the client’ and ‘providing structure to the consultation’. Part 1 introduced the aim and framework of the MCCG which enables the practitioner to gain an insight into the client’s understanding of the problem, including understanding aetiology, epidemiology and pathophysiology. Part 2 introduces the framework that provides the opportunity to understand the client’s expectations regarding the outcome, their motivation and willingness to adhere to recommendations. It also describes how to engage and acknowledge the client as an important part of the decision-making process, how to establish responsibilities of both the client and practitioner, and how to reach out to the client at the conclusion of the consultation to make certain that the client’s expectations were met.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.589
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.399
GPT teacher head0.509
Teacher spread0.110 · 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.

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

Citations6
Published2023
Admission routes1
Has abstractyes

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