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Record W2180046253

Special issue on spine neuromuscular control.

2014· article· en· W2180046253 on OpenAlexaffabout
Martin Descarreaux, Steven Passmore

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsUniversity of ManitobaUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsChiropracticControl (management)Engineering ethicsPhysical medicine and rehabilitationComputer scienceMedicineMedical educationAlternative medicineEngineeringArtificial intelligencePathology
DOInot available

Abstract

fetched live from OpenAlex

Why do a special issue on spine neuromuscular control?Chiropractic research capacity in Canada, the United States and throughout the world has undergone tremen-dous development over the past 15 years. Unique to Can-ada is that chiropractors who are also full-time researchers, play an important role not simply in chiropractic teaching institutions (Universite du Quebec a Trois-Rivieres and Canadian Memorial Chiropractic College), but they have also been integrated into more than a dozen research in-tensive universities throughout the country. Several of such researchers have expertise in biomechanics, motor control and neurophysiology.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.071
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0710.029

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 head0.065
GPT teacher head0.342
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2014
Admission routes2
Has abstractyes

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