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Record W4407437280 · doi:10.1101/2025.02.11.25322103

Statistical Analysis Plan for the manuscript reporting the primary outcome of the MSU-TELEMED study

2025· preprint· en· W4407437280 on OpenAlexaff
Leonid Churilov, Hannah Johns, Vignan Yogendrakumar, Anna Balabanski

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOutcome (game theory)Plan (archaeology)Primary (astronomy)BusinessHistoryEconomicsArchaeology

Abstract

fetched live from OpenAlex

Abstract This manuscript describes the Statistical Analysis Plan (SAP) for the following study: Evaluating the Safety and Efficacy of Telemedicine Physician Assessments on a Mobile Stroke Unit: a Prospective Open-Label Blinded End-Point Randomized Controlled Trial (MSU-TELEMED) This document is a supplement to the MSU-TELEMED study protocol and contains the statistical analysis plan (SAP) for the main paper of the trial in which the primary outcome will be reported. This document complies with the guidelines for the content of statistical analysis plans in clinical trials

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)0.021
metaresearch head score (Gemma)0.017
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 score0.107
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0030.002
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 head0.293
GPT teacher head0.502
Teacher spread0.209 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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