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Record W3123474700

Prospective Registration and Results Disclosure of Clinical Trials in the Americas: A Roadmap Toward Transparency

2011· article· en· W3123474700 on OpenAlexaff
Karmela Krlezˇa-Jeriç, Trudo Lemmens, Ludovic Revéiz, Luis Gabriel Cuervo, Lisa Bero

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of TorontoCanadian Institute for Health Information
Fundersnot available
KeywordsTransparency (behavior)Clinical trialCorporate governancePublic relationsTrial registrationMedicinePublic disclosurePolitical scienceAccountingBusinessEngineeringLawFinance
DOInot available

Abstract

fetched live from OpenAlex

This is the Version of Record (VOR) of an article originally published in the Pan American Journal of Public Health in July of 2011 (https://iris.paho.org/handle/10665.2/9477). This article is distributed under Creative Commons License CC-BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/). No changes have been made to the original publication.

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)0.786
metaresearch head score (Gemma)0.858
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.214
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.7860.858
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0090.014
Science and technology studies0.0040.016
Scholarly communication0.0230.026
Open science0.0130.018
Research integrity0.0270.037
Insufficient payload (model declined to judge)0.0080.004

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 head0.616
GPT teacher head0.598
Teacher spread0.018 · 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 designTheoretical or conceptual
DomainReproducibility
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

Citations0
Published2011
Admission routes1
Has abstractyes

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