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Record W2463364201

Common denominators of inflammatory joint diseases.

2005· article· en· W2463364201 on OpenAlexaff
Hani El‐Gabalawy

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity of ManitobaHealth Sciences CentreManitoba Health
Fundersnot available
KeywordsMedicineSynovitisIntervention (counseling)ArthritisIntensive care medicineGenetic predispositionDiseaseBioinformaticsPathologyImmunologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Inflammatory joint diseases (IJD) are a heterogeneous group of disorders whose primary pathologic target is articular and periarticular tissue. Although each form of IJD is clinically distinct, these disorders share a number of common clinical, epidemiological, and pathogenetic elements. In all cases, there is a complex interaction between genetic and environmental factors that serves to initiate the process, and likely, there is a different set of interactions to perpetuate the arthritis, as well as determine the destructiveness of the process. There are a number of intervention checkpoints common to all forms of IJD. These include pri-mary prevention by identifying populations at risk and environmental triggers; prevention of persistent synovitis, articular damage, and functional disability; and restoration of function. Research and innovation directed at each of these key intervention checkpoints will improve the care of these disorders, and ultimately save valuable health care resources.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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
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

Citations4
Published2005
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicRheumatoid Arthritis Research and Therapies→French-language works237,207→