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Record W2949484895 · doi:10.1002/14651858.cd000319

Medicinal and Injection therapies for mechanical neck disorders

2003· reference-entry· en· W2949484895 on OpenAlexaff
P Peloso, Ted Haines, Anita Gross, CH Goldsmith, Peter Aker, K Trinh

Post-publication record

NatureRetraction
ReasonConcerns/Issues about Third Party Involvement;Notice - Limited or No Information;Removed;
Date5/21/2015 0:00
Flagged by OpenAlex?No. Retraction Watch records this, and OpenAlex does not flag it.

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2003
Typereference-entry
Languageen
FieldArts and Humanities
TopicBach Studies and Logistics Development
Canadian institutionsRoyal University Hospital
Fundersnot available
KeywordsMedicineWhiplashNeck painPhysical therapyMyofascial pain syndromeRange of motionMusculoskeletal disorderPhysical medicine and rehabilitationPoison controlEmergency medicineAlternative medicineHuman factors and ergonomics

Abstract

fetched live from OpenAlex

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: Primary Objective: to determine if drug therapies reduce neck pain in adults with mechanical neck disorders. Additionally, to determine if these treatments alter other outcome measures including (but not limited to) range of motion, activities of daily living, return to work status, medication use or patient performance. Secondary Objectives: to determine if certain variables influence the magnitude of the pooled effect of treatment. These variables include: methodological quality of the study, duration of symptoms (ie. acute vs chronic) and type of mechanical neck disorder (ie. whiplash injury, nonspecific neck pain, myofascial pain syndrome, etc).

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)0.015
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.039
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0160.014
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0030.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0940.009

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 head0.107
GPT teacher head0.318
Teacher spread0.211 · 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 designSystematic review
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

Citations1
Published2003
Admission routes1
Has abstractyes

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