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Record W7117918514 · doi:10.1055/s-0045-1814455

Abstracts of the Free Communications of the 11th Libyan Cardiac Society Congress (CARDIO-LIBYA 11), November 7–9, 2025, Tripoli, Libya

2025· article· en· W7117918514 on OpenAlexaff
Basem Elbarouni, Aiman Smer, Huda Elshershari, Aisha Bugila, Ahmed Gabroun, Mahmoud Abdou, Mohamed ElHarari, Omar Mangoush, Hanifa Alrabte

Bibliographic record

VenueIbnosina Journal of Medicine and Biomedical Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCompendiumHeart diseaseHeart failurevalvular heart diseaseAlternative medicine

Abstract

fetched live from OpenAlex

Abstract The 11th Annual Scientific Meeting of the Libyan Cardiac Society (CardioLibya 11), held in Tripoli from November 7 to 9, 2025, in conjunction with the 4th Pan-Arab Heart Failure Conference and the Kawasaki Disease Arab Initiative session, featured over 100 scientific presentations and 14 hands-on workshops across adult and pediatric cardiovascular care. A total of 48 abstracts were submitted, and 39 were accepted following rigorous peer review. These were categorized into adult oral presentations (6), pediatric oral presentations (5), and poster presentations (28). Key themes included structural heart disease, congenital heart anomalies, cardiac imaging, heart failure, valvular surgery, cardiometabolic risk factors, cardiac rehabilitation, and health system innovation in resource-limited settings. Top abstracts in each category received the Dr. Mahmoud Tarhuni Research Award. This compendium aims to disseminate recent findings and foster collaboration among cardiovascular specialists regionally and globally.

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)0.002
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.262
Threshold uncertainty score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2620.063

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 head0.039
GPT teacher head0.338
Teacher spread0.299 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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Same venueIbnosina Journal of Medicine and Biomedical SciencesSame topicKawasaki Disease and Coronary ComplicationsFrench-language works237,207