MétaCan
Menu
Back to cohort
Record W2065260310 · doi:10.1503/cmaj.1070073

Lactate and the osmolar gap

2007· article· en· W2065260310 on OpenAlexaffvenue
Manish M. Sood, Robert R. Richardson

Bibliographic record

VenueCanadian Medical Association Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsToronto General HospitalSt. Paul's Hospital
Fundersnot available
KeywordsLactic acidSodium lactateSodiumComputer scienceChemistryBiologyBacteriaOrganic chemistryGenetics

Abstract

fetched live from OpenAlex

[The authors respond:] We thank Frances Rosenberg for her comment on our paper.[1][1] The contribution of lactic acid to the osmolar gap is complex. Lactic acid ionizes; Rosenberg astutely mentions that the cation accompanying lactate is sodium. Theoretically, therefore, an elevated lactate

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)0.005
metaresearch head score (Gemma)0.022
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: none
Teacher disagreement score0.026
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0030.005
Open science0.0030.002
Research integrity0.0260.035
Insufficient payload (model declined to judge)0.0050.002

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 head0.006
GPT teacher head0.234
Teacher spread0.228 · 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

Citations6
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Medical Association JournalSame topicRenal function and acid-base balanceFrench-language works237,207