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Record W2065926090 · doi:10.7439/ijbar.v5i9.852

Impact of SNAPPS on Clinical Reasoning Skills of Surgery Residents in Outpatient Setting

2014· article· en· W2065926090 on OpenAlexaboutno aff
Dilip Krishnarao Apturkar, Gokul Jaywant Jorwekar, P. K. Baviskar, Meena Hussain Shaikh, N A Sadawarte

Bibliographic record

VenueInternational Journal of Biomedical and Advance Research · 2014
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsnot available
Fundersnot available
KeywordsPreceptorSet (abstract data type)Medical educationMedicineAmbulatoryClinical PracticePsychologyIdeal (ethics)NursingComputer scienceSurgery

Abstract

fetched live from OpenAlex

Authors Scholar Science Journals DOI: https://doi.org/10.7439/ijbar.v1i1.348 Downloads Download data is not yet available. Metrics Metrics Loading … Downloads PDF Published 2010-10-01 How to Cite Journals, S. S. (2010). . International Journal of Biomedical and Advance Research, 1(1). https://doi.org/10.7439/ijbar.v1i1.348 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley ... Read more

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)0.007
metaresearch head score (Gemma)0.160
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.160
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.069
GPT teacher head0.506
Teacher spread0.437 · 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 designObservational
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

Citations4
Published2014
Admission routes1
Has abstractyes

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