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Canadian Society of Clinical Chemists (CSCC) consensus guidance for testing, selection and quality management of SARS-CoV-2 point-of-care tests

2021· review· en· W3165420971 on OpenAlexaffabout
Jennifer Taher, Edward Randell, Saranya Arnoldo, Dana Bailey, Vincent De Guire, Sukhbir Kaur, Michael J. Knauer, Eleonora Petryayeva, Susan M. Poutanen, Julie Shaw, Uvaraj Uddayasankar, Nicole White-Al Habeeb, Danijela Konforte

Bibliographic record

VenueClinical Biochemistry · 2021
Typereview
Languageen
FieldMedicine
TopicSARS-CoV-2 detection and testing
Canadian institutionsUniversity of OttawaUniversity Health NetworkMcMaster UniversityUniversity of British ColumbiaUniversity of TorontoWestern UniversityCanadian Electricity AssociationHôpital Maisonneuve-RosemontFraser HealthUniversité de MontréalWilliam Osler Health SystemMemorial University of NewfoundlandLondon Health Sciences CentreBrampton Civic HospitalSinai Health System
Fundersnot available
KeywordsPoint-of-care testingBiosafetyTest (biology)Quality (philosophy)Point of careSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Health careMedicineExternal quality assessmentCoronavirus disease 2019 (COVID-19)Medical physicsPathologyBiologyPolitical science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.319
GPT teacher head0.517
Teacher spread0.197 · 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 designOther design
Domainnot available
GenreReview

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
Published2021
Admission routes2
Has abstractno

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