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Record W4288753150 · doi:10.1016/j.jscai.2022.100389

SCAI Publications Committee Manual of Standard Operating Procedures: 2022 Update

2022· article· en· W4288753150 on OpenAlexaff
Molly Szerlip, Karim Al‐Azizi, Mirvat Alasnag, Tomo Ando, Lawrence Ang, Robert C. Bartel, Sarosh P. Batlivala, Brigitta C. Brott, Laura Davidson, Payam Dehghani, Sammy Elmariah, Marvin H. Eng, Santiago García, Jay Giri, Andrew M. Goldsweig, Brent M. Gordon, Mayra Guerrero, Howard C. Herrmann, Hani Jneid, Saibal Kar, Alexandra J. Lansky, Kusum Lata, Mina Madan, Ryan D. Madder, Jennifer A. Rymer, Emily Senerth, Triston Smith, Behnam Tehrani, John C. Messenger

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2022
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreGenome Prairie
Fundersnot available
KeywordsStandard operating procedureComputer scienceOperations researchEngineeringOperations management

Abstract

fetched live from OpenAlex

Evidence-based recommendations for clinical practice are intended to help health care providers and patients make decisions, minimize inappropriate practice variation, promote effective resource use, improve clinical outcomes, and direct future research. SCAI has been engaged in the creation and dissemination of clinical guidance documents since the 1990s. These documents are a cornerstone of the Society's education, advocacy, and quality improvement initiatives. The Publications Committee is charged with the oversight of SCAI's clinical documents program and has published the first iteration of this manual of standard operating procedures in 2019 to ensure consistency, methodological rigor, and transparency in the development and endorsement of the Society's documents. The manual has been updated based on feedback from the implementation of the original version to add specificity and expand the breadth of available document formats. The manual is intended for reference by the Publications Committee, document writing groups, external collaborators, SCAI representatives, peer reviewers, and anyone seeking information about the SCAI documents program.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.689
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.150
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.086
GPT teacher head0.409
Teacher spread0.323 · 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
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

Citations9
Published2022
Admission routes1
Has abstractyes

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