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Record W3140203388 · doi:10.1186/s12968-020-00671-7

Society for Cardiovascular Magnetic Resonance 2019 Case of the Week series

2021· review· en· W3140203388 on OpenAlexaff
Arun Dahiya, C. Chao, J. Younger, Julia Kar, Bryant M. Baldwin, Michael V. Cohen, Shane Joseph, Anam Chowdhry, Maria S. Figarola, Christopher Malozzi, Mohamed Farhan Nasser, Yassar Nabeel, Rajiv Shah, J. Michael Kennen, Ashish Aneja, Sameh Khalil, Sara Ragab, O. Mohammed, Taher Mohammed Moustafa, Ahmed Hamdy, Shimaa Ahmed, Ahmed Heny, Maha El Taher, Madhusudan Ganigara, Arushi Dhar, Nilanjana Misra, Jafar Alzubi, Kurian Pannikottu, Ahmad Jabri, Vinayak Hedge, Anmar Kanaa’N, Joseph A. Lahorra, Dominique de Waard, David Horné, Santokh Dhillon, Aoife Sweeney, Christian Hamilton‐Craig, V. S. Katikireddi, Allan J. Wesley, Chris Hammet, Jason N. Johnson, Sylvia S.M. Chen

Bibliographic record

VenueJournal of Cardiovascular Magnetic Resonance · 2021
Typereview
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
FundersPennsylvania State UniversitySociety for Cardiovascular Magnetic ResonanceHealth Science Center, University of TennesseeSchool of Medicine, Case Western Reserve UniversityNorthwell HealthCase Western Reserve UniversityWalter Reed National Military Medical CenterUniversity of Pennsylvania
KeywordsMedicinePresentation (obstetrics)AngiologyMagnetic resonance imagingDiseaseMedical physicsWeb siteRadiologyInternal medicineWorld Wide WebThe InternetComputer science

Abstract

fetched live from OpenAlex

The Society for Cardiovascular Magnetic Resonance (SCMR) is an international society focused on the research, education, and clinical application of cardiovascular magnetic resonance (CMR). The SCMR web site ( https://www.scmr.org ) hosts a case series designed to present case reports demonstrating the unique attributes of CMR in the diagnosis or management of cardiovascular disease. Each clinical presentation is followed by a brief discussion of the disease and unique role of CMR in disease diagnosis or management guidance. By nature, some of these are somewhat esoteric, but all are instructive. In this publication, we provide a digital archive of the 2019 Case of the Week series as a means of further enhancing the education of those interested in CMR and as a means of more readily identifying these cases using a PubMed or similar search engine.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0110.004

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 head0.023
GPT teacher head0.278
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreReview

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

Citations10
Published2021
Admission routes1
Has abstractyes

Explore more

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