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Record W4246109455 · doi:10.1515/jcim

Journal of Complementary and Integrative Medicine

2013· paratext· en· W4246109455 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Complementary and Integrative Medicine · 2013
Typeparatext
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTraditional medicineIntegrative medicineAlternative medicineMedicinePathology

Abstract

fetched live from OpenAlex

Objective Journal of Complementary and Integrative Medicine ( JCIM ) focuses on evidence concerning the efficacy and safety of complementary medical (CM) whole systems, practices, interventions and natural health products, including herbal and traditional medicines. The journal is edited by Ed Lui of the University of Western Ontario. Topics Quality, efficacy, and safety of natural health products, dietary supplements, traditional medicines and their synthetic duplicates Efficacy and safety of complementary therapies Evidence-based medicine and practice, including evidence of traditional use Curriculum development, educational system and competency of complementary health programs Methodologies on research and evaluation of traditional medicines and herbal products Integrative medicine: basic and clinical research and practice Innovation in CAM Curriculum Educational Material Design Article formats Research Articles, Review Articles, Mini Reviews, Discussion/Opinion Papers, Short Communications, Editorials

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.870
Threshold uncertainty score0.437

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1300.044

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 head0.059
GPT teacher head0.378
Teacher spread0.319 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations168
Published2013
Admission routes1
Has abstractyes

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