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Record W4220737222 · doi:10.5489/cuaj.7872

Update – 2022 Canadian Urological Association guideline: Evaluation and medical management of the kidney stone patient

2022· article· en· W4220737222 on OpenAlexaffvenueabout
Naeem Bhojani, Jennifer Bjazevic, Brendan Wallace, Linda Lee, Kamaljot S. Kaler, Marie Dion, Andrea Cowan, Nabil Sultan, Ben H. Chew, Hassan Razvi

Bibliographic record

VenueCanadian Urological Association Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsUniversité de MontréalNiagara Health SystemWestern UniversityUniversity of CalgaryUniversity of British ColumbiaIsland Health
Fundersnot available
KeywordsGuidelineMedicineAssociation (psychology)Kidney stonesInternal medicinePsychologyPathology

Abstract

fetched live from OpenAlex

sion in the literature assessment for this guideline update. Management recommendations were modified if needed based on the most current literature since the last guideline was published in 2016. Studies were evaluated and recommendations made based on Oxford levels of evidence

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0060.000

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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 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

Citations44
Published2022
Admission routes3
Has abstractyes

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Same venueCanadian Urological Association JournalSame topicKidney Stones and Urolithiasis TreatmentsFrench-language works237,207