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Record W2175504478 · doi:10.1177/0840470415607120

Si vous pensez que c’est juste un mal de jambe… détrompez-vous

2015· review· fr· W2175504478 on OpenAlexaffabout
Giuseppe Papia, Perry Mayer, D.F. Kelton, Douglas Queen, James A. Elliott, Janet L. Kuhnke

Bibliographic record

VenueHealthcare Management Forum · 2015
Typereview
Languagefr
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsSt. Lawrence CollegeLaurentian UniversityThe Mayer InstituteWilliam Osler Health SystemHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Environ 800 000 Canadiens ont une maladie artérielle périphérique (MAP), une cause majeure d'amputation. Pourtant, le public et les cliniciens connaissent très peu cette maladie. Le présent article traite de la campagne de sensibilisation Si vous pensez que c'est juste un mal de jambe… détrompez-vous que l'Association canadienne du soin des plaies a lancée pour contrer cette tendance. Il porte également sur les facteurs de risque et le dépistage de la MAP, son lien avec le diabète, son traitement et ses soins, ses innovations en matière de soins de la MAP et la nécessité de faire preuve de leadership sur le plan des politiques.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.862
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.010

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 head0.043
GPT teacher head0.340
Teacher spread0.298 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2015
Admission routes2
Has abstractyes

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