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Record W1534977640 · doi:10.1002/9781118715598.ch12

CONSORT for Pragmatic Trials

2014· other· en· W1534977640 on OpenAlexaff
Merrick Zwarenstein

Bibliographic record

Venuenot available
Typeother
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsWestern University
Fundersnot available
KeywordsConsolidated Standards of Reporting TrialsComputer sciencePsychologyPsychological intervention

Abstract

fetched live from OpenAlex

The Pragmatic Randomized Controlled Trials in Health Care (Practihc) extension to the Consolidated Standards of Reporting Trials (CONSORT) Statement is a guidance document for authors reporting randomized trials of interventions directly aimed at improving health status, or healthcare processes or outcomes, under real-world conditions, that is, under the conditions of healthcare settings as usually organized, resourced, and run. Practihc may be useful for peer reviewers and editors reviewing reports of randomized trials, for authors wishing to provide a full report oriented toward decision makers, and for readers wanting to gauge the relevance of a randomized trial conducted elsewhere, to the care setting in which they might wish to use the evaluated intervention. The Practihc extension has been developed to help authors who evaluate interventions with the goal of using their published results to influence decisions on “real-world” use of the intervention that they have evaluated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.246
metaresearch head score (Gemma)0.677
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score0.930

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2460.677
Meta-epidemiology (narrow)0.0060.005
Meta-epidemiology (broad)0.0110.014
Bibliometrics0.0210.022
Science and technology studies0.0030.007
Scholarly communication0.0110.007
Open science0.0090.007
Research integrity0.0120.018
Insufficient payload (model declined to judge)0.1160.029

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 head0.899
GPT teacher head0.624
Teacher spread0.275 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreMethods

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
Published2014
Admission routes1
Has abstractyes

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