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Record W2164878282 · doi:10.3747/co.v18i2.663

A New Standard of Care for the Management of Peritoneal Surface Malignancy

2011· article· en· W2164878282 on OpenAlexvenueno aff
Faheez Mohamed, Tom Cecil, Brendan Moran, Paul H. Sugarbaker

Bibliographic record

VenueCurrent Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicIntraperitoneal and Appendiceal Malignancies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalignancyPeritoneal mesotheliomaColorectal cancerChemotherapyCytoreductive surgeryIntensive care medicinePerioperativeOncologyStandard of careCancerInternal medicineGeneral surgerySurgeryMesotheliomaPathologyOvarian cancer

Abstract

fetched live from OpenAlex

Cancer dissemination to peritoneal surfaces was, in the past, a lethal condition with a limited survival. Clinical and pharmacologic research have shown that options for both treatment and prevention are now reality. The diseases most commonly treated include peritoneal dissemination from appendiceal malignancy, colorectal malignancy, and peritoneal mesothelioma. Selection factors are important to minimize the number of treated patients who will experience short-term benefit. Treatments involve cytoreductive surgery and perioperative chemotherapy. The intraperitoneal chemotherapy in the operating room is used with heat. Although this combined approach has been criticized, the informed oncologist will seek to identify those patients that may benefit from this more optimistic concept of peritoneal dissemination of cancer.

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)0.002
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.002

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 head0.091
GPT teacher head0.373
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
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

Citations126
Published2011
Admission routes1
Has abstractyes

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