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Record W3200908056 · doi:10.37897/rjmp.2015.3.4

Peripheral artery disease – necessary steps for keeping us walking

2015· article· en· W3200908056 on OpenAlexaff
Camelia Cristina Diaconu, Irina Crîşmaru, G. Dediu, Alice Bălăceanu

Bibliographic record

VenueRomanian Journal of Medical Practice · 2015
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCilostazolMedicineArterial diseaseAspirinIntermittent claudicationPeripheralClopidogrelCardiologyClaudicationInternal medicineDiabetes mellitusAnkleDiseaseSurgeryVascular disease

Abstract

fetched live from OpenAlex

Peripheral arterial disease (PAD) is a consequence of the atherosclerosis of large arteries located distal to aortic arch. The most common symptom is intermittent claudication. The most commonly used screening tool of BAP in primary care is the ankle-brachial index (ABI), especially recommended for patients older than 70 years or between 50-69 years, if they are diabetics or smokers. Management of PAD include smoking cessation, exercise, treatment with statins, antiplatelet therapy with aspirin and clopidogrel, possibly cilostazol in patients without heart failure. Surgery is recommended for patients who do not respond to drug therapy.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.016

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 head0.038
GPT teacher head0.338
Teacher spread0.301 · 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
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

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