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Record W2164162533 · doi:10.1093/jnci/92.9.671a

MEMORANDUM FOR: Science Writers and Editors on the Journal Press List

2000· article· en· W2164162533 on OpenAlexaboutno aff
Katherine Arnold, Dan Eckstein

Bibliographic record

VenueJNCI Journal of the National Cancer Institute · 2000
Typearticle
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsnot available
Fundersnot available
KeywordsMemorandumLibrary sciencePolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

April 27, 2000 (EMBARGOED FOR RELEASE 4 P.M. EDT May 2) A combination of paclitaxel and cisplatin is the new “gold standard” for treating advanced ovarian cancer, according to the authors of a randomized trial comparing this combination with cyclophosphamide and cisplatin. Martine Piccart, M.D., of the European Organization for Research and Treatment of Cancer (EORTC), with coauthors from the Nordic Gynecological Cancer Study Group (NOCOVA), the National Cancer Institute of Canada Clinical Trials Group (NCI-C-CTG), and the Scottish Group, present the results of their unique trans-Atlantic clinical study in the May 3 issue of the Journal of the National Cancer Institute. An earlier trial conducted by the Gynecologic Oncology Group in the United States showed a better outcome for patients with advanced ovarian cancer on the paclitaxel–cisplatin regimen than for those on a standard cyclophosphamide–cisplatin regimen. The European and Canadian investigators conducted a confirmatory trial that included somewhat broader selection criteria than the earlier trial and administered paclitaxel as a 3-hour instead of a 24-hour infusion.

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)0.013
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0040.000
Research integrity0.0000.001
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 head0.184
GPT teacher head0.447
Teacher spread0.263 · 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 designNot applicable
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

Citations0
Published2000
Admission routes1
Has abstractyes

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