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Record W4405184220 · doi:10.56885/lhyr3902

A Patient’s Guide to Prevent Lower Extremity Amputations: An American Limb Preservation Society (ALPS) Initiative

2024· article· en· W4405184220 on OpenAlexaboutno aff
Virginie Blanchette, Matthew C. Bunte

Bibliographic record

VenueWound Care Canada · 2024
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAlliancePodiatryMedicineFoot (prosody)AmputationDiabetic footLower limbSurgeryPolitical scienceDiabetes mellitusAlternative medicine

Abstract

fetched live from OpenAlex

The Limb Preservation Alliance is an international collaborative alliance between four founding organizations: American Limb Preservation Society (ALPS), the Canadian Podiatric Medical Association, D-Foot international and Wounds Canada. The purpose of this alliance is to advance limb preservation, education, advocacy and awareness. With the aim of sharing and mobilizing knowledge within the alliance, the ALPS education committee, with the help of patients who have experienced diabetic foot disease, have developed a patient resource to provide facts about foot and leg wound prevention and management and act against preventable amputation.

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)0.003
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.112
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0290.011

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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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
Published2024
Admission routes1
Has abstractyes

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