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Record W4238029507 · doi:10.3899/jrheum.180300

Canadian Rheumatology Association Meeting JW Marriott Parq Vancouver Vancouver, British Columbia, Canada February 21–24, 2018

2018· article· en· W4238029507 on OpenAlexvenueaboutno aff

Bibliographic record

VenueThe Journal of Rheumatology · 2018
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLibrary scienceBest practiceWatsonFamily medicineMedical educationInternal medicineGerontologyManagementArtificial intelligence

Abstract

fetched live from OpenAlex

The 73rd Annual Meeting of The Canadian Rheumatology Association (CRA) was held at the JW Marriott Parq Vancouver, Vancouver, British Columbia, Canada, February 21–24, 2018. The program consisted of presentations covering original research, symposia, awards, and lectures. Highlights of the meeting include the following 2018 award winners: Distinguished Rheumatologist, Alan Rosenberg; Distinguished Investigator, John Hanly; Teacher-Educator, Anna Oswald; Young Investigator, Évelyne Vinet; Best Abstract on Research by a Rheumatology Resident, May Choi; Best Abstract on Systemic Lupus Erythematosus Research by a Trainee – Ian Watson Award, Lily Wang; Best Abstract on Clinical or Epidemiology Research by a Trainee – Phil Rosen Award, Sophie Wojcik; Best Abstract on Basic Science Research by a Trainee, Jessica Salituri; Best Abstract on Quality Care Initiatives in Rheumatology, Arielle Mendel; Best Abstract by a Post-Graduate Research Trainee, Victoria Stefanelli; Best Abstract by a Medical Student, Tedi Qendro; Best Abstract by an Undergraduate Student, Sujay Nagaraj; Best Abstract on Research by Young Faculty, Kimberly Legault; Best Abstract on Pediatric Research by Young Faculty, Roberta Berard and Dax Rumsey. Lectures and other events included Keynote Address by John Hanly, Distinguished Investigator Awardee: Lupus and the Nervous System; Keynote Lecture by Linda Li: Arthritis Care in the Digital Age: The Patient CAN See you Now; State of the Art Lecture: Immunotherapy: Immune Modulation to Cure RA by Ranjeny Thomas; and the Great Debate: Be it Resolved that Precision Diagnostic Tools such as Biomarkers, Advanced Immunology, and Artificial Intelligence will Reduce the Need for Rheumatologists in the Future. Arguing for: Susa Benseler and Walter Maksymowych, and against: Trudy Taylor and Johannes Roth. Topics including rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, Sjögren syndrome, psoriatic arthritis, spondyloarthritis, vasculitis, osteoarthritis, fibromyalgia, and their respective diagnoses, treatments, and outcomes are reflected in the abstracts, which we are pleased to publish in this issue of The Journal .

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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.

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

Citations12
Published2018
Admission routes2
Has abstractyes

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