MétaCan
Menu
Back to cohort
Record W2055878018 · doi:10.1179/174328808x309250

Validity of surface measurements to assess craniocervical posture in the sagittal plane: a critical review

2008· review· en· W2055878018 on OpenAlexfundno aff
Inaê Caroline Gadotti, David J. Magee

Bibliographic record

VenuePhysical Therapy Reviews · 2008
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsSagittal planeMedicineRadiographyReliability (semiconductor)OrthodonticsPhysical medicine and rehabilitationRadiology

Abstract

fetched live from OpenAlex

The objective of this paper is to review the use of non-invasive surface measurements to assess craniocervical posture in the sagittal plane and critically review the validity of these measurements. A critical review of the literature that investigates surface methods to measure craniocervical posture was performed. Three studies were discussed that investigated the validity of surface measurements in the sagittal plane using radiographs as a reference criterion. In general, in the studies that investigated craniocervical posture with surface measurements, the authors failed to support their claims with information related to experimental methods such as standardisation of posture, and the reliability, validity and sensitivity of the measurements. Future research that looks at the validation of head and neck posture measurements using surface methods is necessary. Valid standard surface procedures to assess craniocervical posture based on radiographic measurements have not yet been established.

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)0.018
metaresearch head score (Gemma)0.060
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0090.006
Science and technology studies0.0000.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.311
GPT teacher head0.465
Teacher spread0.154 · 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

Citations35
Published2008
Admission routes1
Has abstractyes

Explore more

Same venuePhysical Therapy ReviewsSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207