MétaCan
Menu
Back to cohort
Record W2803145883 · doi:10.1186/s13104-018-3294-9

Correction to: Cohort profile: the Saskatchewan Rural Health Study—adult component

2018· erratum· en· W2803145883 on OpenAlexaffabout
Punam Pahwa, Masud Rana, William Pickett, Chandima Karunanayake, Khalid Amin, Niels Koehncke, Valerie Elliot, Louise Hagel, Josh Lawson, Donna Rennie, Shelley Kirychuk, Bonnie Janzen, Roland Dyck, James A. Dosman

Bibliographic record

VenueBMC Research Notes · 2018
Typeerratum
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsQueen's UniversitySaskatchewan HealthUniversity of Saskatchewan
Fundersnot available
KeywordsCohortLibrary scienceComponent (thermodynamics)MedicineFamily medicineGerontologyData scienceComputer sciencePathology

Abstract

fetched live from OpenAlex

Following publication of the original article [1] the authors notified Production that the names of three authors-Valerie Elliot, Louise Hagel, and Roland Dyck-had been unintentionally omitted in the final online version of the manuscript. The corrected author list is shown in this Correction.

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)0.015
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.130
GPT teacher head0.477
Teacher spread0.347 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueBMC Research NotesSame topicHealth disparities and outcomesFrench-language works237,207