MétaCan
Menu
Back to cohort
Record W134388059 · doi:10.1142/9789812709301_0001

The Scientific Basis of Chinese Medicine and Cancer Care: A Western Medicine Perspective

2007· book-chapter· en· W134388059 on OpenAlexaff
Stephen M. Sagar, Raimond Wong

Bibliographic record

VenueAnnals of traditional chinese medicine · 2007
Typebook-chapter
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsMcMaster UniversityJuravinski Cancer Centre
Fundersnot available
KeywordsPerspective (graphical)Western medicineTraditional medicineMedicineTraditional Chinese medicineAlternative medicineFamily medicineComputer sciencePathologyArtificial intelligence

Abstract

fetched live from OpenAlex

Traditional Chinese medicine (TCM) may be integrated with conventional Western medicine to enhance the care of patients with cancer. Recent evidence confirms a scientific basis for the use of acupuncture, herbs, diet and energy therapies. We suggest a holistic care plan based on the concepts of biological response modification, enhancement of psycho-immunological function, better symptom control, and improvement of psycho-spiritual well-being. There is enough preliminary evidence to encourage good quality clinical trials to evaluate the efficacy of integrating TCM into Western

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.012
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.162
GPT teacher head0.424
Teacher spread0.262 · 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

Citations7
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of traditional chinese medicineSame topicAcupuncture Treatment Research StudiesFrench-language works237,207