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Record W2073220539 · doi:10.14797/mdcj-10-1-13

Cardiovascular Drugs and the Genetic Response

2014· review· en· W2073220539 on OpenAlexaff
Sonny Dandona

Bibliographic record

VenueMethodist DeBakey Cardiovascular Journal · 2014
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineWebcastMEDLINEMedical educationSubject (documents)Subject matterLibrary scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The Methodist DeBakey Cardiovascular Journal provides timely updates on important topics in cardiovascular medicine with quarterly, thematic review-article issues. Each issue is curated by subject-matter-expert guest editors and includes invited reviews along with case reports, interesting multimodality images, and humanities submissions. Additional case reports, images, CME quizzes, and editorials are published on a continuous basis online. MDCVJ is geared towards cardiologists, cardiovascular surgeons, general practitioners, and CV residents and fellows and is indexed in PubMed and MEDLINE.MDCVJ is published by Houston Methodist DeBakey Heart & Vascular Center as part of DeBakey CV Education, an epicenter for cardiovascular academic and clinical education programs located in the heart of the Texas Medical Center. Along with the Journal, DeBakey CV Education offers online and hands-on training for cardiovascular healthcare professionals at all stages in their careers. DeBakey CV Education’s vast YouTube library features hundreds of training videos and live webcasts, including Journal features. Subscribe to the YouTube channel today and sign up for newsletter updates about training opportunities.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.119
GPT teacher head0.443
Teacher spread0.324 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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Same venueMethodist DeBakey Cardiovascular JournalSame topicPharmacogenetics and Drug MetabolismFrench-language works237,207