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Record W4410361667 · doi:10.1515/jcim-2025-0128

From ancient wisdom to modern practices: transformative potential of digital health innovations in advancing traditional medicine

2025· editorial· en· W4410361667 on OpenAlexaff
Jeremy Y. Ng, Ioannis Dimitriou, Bala Pesala, M. Kajiwara, Geetha Krishnan Gopalakrishna Pillai

Bibliographic record

VenueJournal of Complementary and Integrative Medicine · 2025
Typeeditorial
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsOttawa Hospital
FundersWorld Health Organization
KeywordsTransformative learningTraditional medicineAlternative medicineDigital healthMedicineEngineering ethicsSociologyPolitical scienceEngineeringHealth care

Abstract

fetched live from OpenAlex

Article From ancient wisdom to modern practices: transformative potential of digital health innovations in advancing traditional medicine was published on May 7, 2025 in the journal Journal of Complementary and Integrative Medicine (volume 0, issue 0).

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)0.008
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.010
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.001
Science and technology studies0.0030.003
Scholarly communication0.0090.004
Open science0.0020.002
Research integrity0.0100.015
Insufficient payload (model declined to judge)0.0080.002

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 head0.046
GPT teacher head0.376
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations4
Published2025
Admission routes1
Has abstractyes

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