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Record W2733338637 · doi:10.1016/j.jmpt.2008.11.005

The Bone and Joint Decade 2000–2010 Task Force on Neck Pain and Its Associated Disorders

2009· article· en· W2733338637 on OpenAlexaffabout
Scott Haldeman, Linda Carroll, J. David Cassidy, Jon Schubert, Åke Nygren

Bibliographic record

VenueJournal of Manipulative and Physiological Therapeutics · 2009
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of TorontoUniversity Health NetworkUniversity of Alberta
Fundersnot available
KeywordsMedicineNeck painTask forcePhysical medicine and rehabilitationPhysical therapyJoint painTask (project management)Alternative medicinePathology

Abstract

fetched live from OpenAlex

Scott Haldeman, DC, MD, PhD,1 Linda Carroll, PhD,2 J. David Cassidy, DC, PhD, DrMedSc,3 Jon Schubert, CMA,4 and Ake Nygren, DDS, MD, DrMedSc5 1Department of Neurology, University of California, Irvine, CA; Department of Epidemiology, School of Public Health, University of California, Los Angeles, CA 2Department of Public Health Sciences, and Alberta Center for Injury Control and Research, School of Public Health, University of Alberta, Canada 3Department of Public Health Sciences, Faculty of Medicine, University of Toronto an Division of Health Outcomes and Research, Toronto Western Research Institute, University Health Network, Toronto, Canada 4CEO–SGI, Regina, Saskatchewan, Canada 5Department of Clinical Sciences, Danderyd Hospital, Division of Rehabilitation Medicine, Karolinska Institutet, Stockholm, Sweden

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.114
GPT teacher head0.331
Teacher spread0.217 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations103
Published2009
Admission routes2
Has abstractyes

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