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Record W2912349671 · doi:10.1177/1534735418823266

Integrative Oncology: International Perspectives

2019· article· en· W2912349671 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIntegrative Cancer Therapies · 2019
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of ManitobaOttawa Regional Cancer FoundationCanadian College of Naturopathic Medicine
FundersFriedrich-Schiller-Universität Jena
KeywordsMedicineOncologyInternal medicineIntensive care medicineMedical physics

Abstract

fetched live from OpenAlex

Interest in integrative oncology (IO) is growing globally. Patients with cancer are actively using traditional complementary and integrative medicine (TCIM) as part of their cancer and survivorship care. Published studies from around the world report increasing use of TCIM by people living with cancer. This article summarizes the presentations that took place during a symposium titled, "Integrative Oncology: International Perspectives" at the International Research Congress on Integrative Medicine and Health in Baltimore, 2018. The purpose of the presentations was to examine whether cancer services across a variety of geographical regions, including Australia, Canada, the United States, and the European Union, were actively responding to cancer survivors' demand for TCIM. The presenters highlighted utilization rates and both facilitators and barriers to the provision of IO services in their respective countries and regions. The audience discussion following the presentations drew out many noteworthy perspectives.

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.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0130.000

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 head0.031
GPT teacher head0.394
Teacher spread0.363 · 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