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UTILIZATION AND REGIONAL VARIATION OF BREAST RECONSTRUCTION IN CANADA

2005· letter· en· W107065855 on OpenAlexaffabout
Nancy N. Baxter, Vivek Goel, John L. Semple

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2005
Typeletter
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsWomen's College HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsPublicationMedicineEditorial boardSpace (punctuation)Library sciencePublishingPublic relationsLawPolitical science

Abstract

fetched live from OpenAlex

Division of Plastic Surgery, Sunnybrook and Women's College Health Sciences Center, Toronto, Ontario, Canada Correspondence to Dr. Semple, Division of Plastic Surgery, M1-522, Sunnybrook and Women's College Health Sciences Center, 2075 Bayview Avenue, Toronto, Ontario, Canada M4N 3M5, [email protected] Correspondence and brief communications are welcomed and need not concern only what has been published this journal. We shall print items of interest to our readers, such as experimental, clinical, and philosophical observations; reports of work in progress; educational notes; and travel accounts relevant to plastic surgery. We reserve the right to edit communications to meet requirements of space and format. Any financial interest relevant to the content of the correspondence must be disclosed. Submission of a letter constitutes permission for the American Society of Plastic Surgeons and its licensees and assignees to publish it in the journal and in any other form or medium. The views, opinions, and conclusions expressed in the Letters to the Editor represent the personal opinions of the individual writers and not those of the publisher, the Editorial Board, or the sponsors of the journal. Any stated views, opinions, and conclusions do not reflect the policy of any of the sponsoring organizations or of the institutions with which the writer is affiliated, and the publisher, the Editorial Board, and the sponsoring organizations assume no responsibility for the content of such letters.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.215
Teacher spread0.191 · 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.

Study designObservational
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

Citations28
Published2005
Admission routes2
Has abstractyes

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