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Record W2512946126 · doi:10.1016/j.aogh.2016.04.506

Orthopedic care capacity assessment and strategic planning in Ghana: mapping a way forward

2016· article· en· W2512946126 on OpenAlexaff
Barclay T. Stewart, Adam Gyedu, Geoff Tansley, D. Yeboah, Forster Amponsah‐Manu, Charles Mock, Wilfred Labi-Addo, Robert Quansah

Bibliographic record

VenueAnnals of Global Health · 2016
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsOrthopedic surgeryStrategic planningProcess managementBusinessOperations managementMedicineEngineeringMarketingSurgery

Abstract

fetched live from OpenAlex

75% case; 74% control), most patients (60% case response; 44% control response) report that they do not know the etiologies. About 50% of total participants report that they have no available resources for information about breast cancer. Other results reveal that participants occasionally or frequently have conversations about health and wellness with their family members (86% case response, 83% control response) and a self reported family history of cancer is comparable to that of the global percentage (8% case, 14% control). 86% of cases have shared their breast cancer diagnosis with at least one family member.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.163
GPT teacher head0.504
Teacher spread0.341 · 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 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

Citations1
Published2016
Admission routes1
Has abstractyes

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