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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 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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.038
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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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