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Record W2347068053 · doi:10.1515/cclm-2015-0937

Moving towards harmonized reporting of serum and urine protein electrophoresis

2016· editorial· en· W2347068053 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueClinical Chemistry and Laboratory Medicine (CCLM) · 2016
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Identification and Susceptibility Testing
Canadian institutionsInterior Health
Fundersnot available
KeywordsUrineSerum protein electrophoresisChromatographyMedicineChemistryInternal medicineImmunologyAntibody

Abstract

fetched live from OpenAlex

During the last decade, surveys by questionnaire in Canada, Australia and New Zealand revealed wide variation in reporting practices by laboratories and individual practitioners in the interpretation of serum and urine protein electrophoresis (PE). Such variation has potential to adversely impact patient outcomes if report structure is inconsistent or if the messaging is incorrectly perceived by the receiving physician. Concerted efforts have been initiated to promote harmonization in the use of interpretative comments. The primary goal is to add value through clear communication with requesting physicians in the interest of quality patient care. Resistance to a harmonized approach largely reflects longstanding personal reporting habits and preferences but change can be more readily embraced if the new system is intuitive, easy to use and saves time in reporting.

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.

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)0.003
metaresearch head score (Gemma)0.045
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.344
Teacher spread0.320 · 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