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Record W2937060919 · doi:10.1253/circj.cj-18-1269

Clinical Impact of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve on Japanese Population in the ADVANCE Registry

2019· article· en· W2937060919 on OpenAlex
Yasutsugu Shiono, Hitoshi Matsuo, Tomohiro Kawasaki, Tetsuya Amano, Hironori Kitabata, Takashi Kubo, Yoshihiro Morino, Shunichi Yoda, Tomohiro Sakamoto, Hiroshi Ito, Junya Shite, Hiromasa Otake, Nobuhiro Tanaka, Mitsuyasu Terashima, Kazushige Kadota, Manesh R. Patel, Koen Nieman, Campbell Rogers, Bjarne Linde Nørgaard, Jeroen J. Bax, Gilbert Raff, Kavitha M. Chinnaiyan, Daniel S. Berman, Timothy Fairbairn, Lynne Koweek, Jonathon Leipsic, Takashi Akasaka

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCirculation Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsUniversity of British Columbia
FundersAbbott VascularDuke Clinical Research InstituteBoston Scientific JapanVerily Life SciencesSiemens HealthineersDaiichi-SankyoBoston Scientific Corporation
KeywordsFractional flow reserveMedicineCoronary angiographyComputed tomographyAngiographyPopulationCardiologyComputed tomography angiographyRadiologyInternal medicineNuclear medicineMyocardial infarctionEnvironmental health

Abstract

fetched live from OpenAlex

Background:Coronary computed tomography angiography (cCTA)-derived fractional flow reserve (FFRCT) is a promising diagnostic method for the evaluation of coronary artery disease (CAD). However, clinical data regarding FFRCTin Japan are scarce, so we assessed the clinical impact of using FFRCTin a Japanese population.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.346
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