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Record W4249911348 · doi:10.1016/s0167-8140(16)33511-3

112: Abstract withdrawn

2016· article· en· W4249911348 on OpenAlexaff
Muhammad Jamaluddin, Sunita Ghosh, Michael Waine, Ron S. Sloboda, Mahdi Tavakoli, John Amanie, Don Yee, Albert Murtha, Nawaid Usmani

Bibliographic record

VenueRadiotherapy and Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

respectively.Favourable prognostic factors in univariate and multivariate analysis were early stage, tumour size < 4 cm (after adjusting for the residual disease after radiation), no pelvic lymph node involvement and one week gap between EBRT and HDR brachytherapy in three-year DFS (p = 0.001, p = 0.012, p = 0.005, p = 0.005 respectively).The three-year OS rate was 85.7%, 76.4%, 42%, and 33.3% for Stages I, II, III, and IVA, respectively.Favourable prognostic factors in univariate and multivariate analysis were early stage, tumour size < 4 cm, no pelvic lymph node involvement, one week gap between EBRT and HDR brachytherapy and no distant metastasis (during the follow up) in three-year OS (p = 0.001, p = 0.002, p = 0.002, p = 0.002, p = 0.001 respectively).Conclusions: HDR brachytherapy with Co-60 remote after loading system was successful and it showed HDR brachytherapy in treating patients with carcinoma of cervix was effective after EBRT with acceptable rectal and bladder complications.

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)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.667
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.001
Open science0.0030.001
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.3330.189

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 head0.024
GPT teacher head0.332
Teacher spread0.308 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2016
Admission routes1
Has abstractno

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