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Record W7096969330

Research Initiative

2016· article· en· W7096969330 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerGeneral partnershipTask forceTask (project management)Identification (biology)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

PHYSICIANS AND PATIENTS HAVE BEEN FRUSTRATED by the lack of reliable information on unconventional therapies. To help fill this gap in the area of breast cancer therapy, the Canadian Breast Cancer Research Initiative formed a task force to advise it on how best to promote research into unconventional therapies. As part of the work of the task force, a review of the available literature was carried out for each of the fol-lowing products: Essiac, green tea, Iscador, hydrazine sulfate, vitamins A, C and E, and 714-X. The first article in this series on unconventional therapies for cancer de-scribes the methodology used to obtain and evaluate the information and provides a summary of the findings on Essiac. Subsequent articles will cover the other products. For most of the products reviewed, there has been some indication of possible bene-fit but no definitive evidence. Innovative and collaborative research needed to meet the information needs of growing numbers of patients and their physicians is now being sponsored by the Canadian Breast Cancer Research Initiative. Open commu-nication between patients and physicians is also necessary for the maintenance of an appropriate therapeutic partnership and for the identification and control of side effects. The Ontario Division of the Canadian Cancer Society, a partner in the Can-adian Breast Cancer Research Initiative, supported the preparation of a patient-information piece on unconventional therapies to accompany the series. This item will assist patients who are considering such therapies and will promote open com-munication between patients and their physicians. Résumé LE MANQUE D’INFORMATION FIABLE sur les thérapies non conventionnelles est cause de frustration pour les médecins et les patients. Afin d’aider à combler cette lacune dans le domaine du traitement du cancer du sein, l’Initiative canadienne de recherche sur le cancer du sein a créé un groupe de travail chargé de la conseiller sur les meilleures façons de favoriser la recherche sur les thérapies non conven-tionnelles. Le groupe de travail a notamment étudié la littérature disponible sur les

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.165
GPT teacher head0.430
Teacher spread0.265 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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