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Record W2046166369 · doi:10.1016/j.jmpt.2006.04.002

The 2005 Conference on the Biology of Manual Therapies

2006· review· en· W2046166369 on OpenAlexaffabout
Partap S. Khalsa, Astrid Eberhart, Alyssa Cotler, Richard L. Nahin

Bibliographic record

VenueJournal of Manipulative and Physiological Therapeutics · 2006
Typereview
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsCanadian Institutes of Health Research
FundersNational Institutes of Health
KeywordsMedicinePresentation (obstetrics)Alternative medicineMedical educationPsychological interventionEngineering ethicsMEDLINEChiropracticPolitical sciencePathologyPsychiatry

Abstract

fetched live from OpenAlex

A historic and critically important scientific workshop for all professions involved with manual therapies was held at the National Institutes of Health (NIH) on June 9 and 10, 2005. The conference was jointly sponsored and organized by the NIH and the Canadian Institutes of Health Research and was the first ever national or international research conference to focus on the biologic mechanisms that underlie a broad range of interventions, which can be described as "manual therapies." Leading scientific experts from North America and Europe presented their latest findings and theories related to 5 different areas of science relevant to manual therapies: neuroscience, biomechanics, endocrinology, imaging, and immunology. During the conference, breakout groups composed of scientists, physicians and therapists, and patient advocates were formed in the relevant disciplines. These groups developed consensus statements on key unanswered research questions, which were then submitted back to the conference for comment and approval. The outcomes of this workshop have subsequently been incorporated into a new initiative by the NIH and Canadian Institutes of Health Research for funding research on the biology of manual therapies. This editorial includes presentation summaries and 13 key consensus recommendations relating to mechanisms of action for manual therapies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score0.366

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.666
GPT teacher head0.490
Teacher spread0.176 · 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.

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

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

Citations42
Published2006
Admission routes2
Has abstractyes

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