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Record W2087902348 · doi:10.1097/mph.0b013e3181fd6c8b

Red Blood Cell Morphology Reporting

2010· article· en· W2087902348 on OpenAlexaffabout
Jason C. Ford, Ruth Milner, David Dix

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2010
Typearticle
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsChild and Family Research InstituteUniversity of British ColumbiaBC Children's Hospital
Fundersnot available
KeywordsAnisocytosisMedicineHematology analyzerClinical significanceHematologyMEDLINEInternal medicinePediatricsAnemia

Abstract

fetched live from OpenAlex

Red blood cell morphology (RBC-M) reporting is a routine requirement for hospital laboratories when reporting complete blood counts. However, there is little evidence that RBC-M reporting is useful to pediatric clinicians. We surveyed pediatric hematology specialists and nonspecialists at the BC Children's Hospital (Vancouver, Canada), to evaluate the perceived clinical utility of this reporting. Although a large majority of pediatric clinicians refer to RBC-M reports in their clinical practice, less than half consider these reports to be clinically useful. Hematology specialists were more likely than nonspecialists to identify individual RBC-M descriptions as clinically useful. Some RBC-M descriptions, such as anisocytosis, were considered not useful by specialists and by nonspecialists. A large proportion of nonspecialist respondents noted that they did not know the clinical significance of some of the RBC-M terms. Educational initiatives to inform nonspecialists about the clinical significance of some RBC-M descriptions should be considered. A few RBC-M descriptions are not clinically useful to either specialists or nonspecialists, and these could be omitted from RBC-M reports as a step toward improved hematology laboratory 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.

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)0.006
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.408
Teacher spread0.352 · 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

Citations6
Published2010
Admission routes2
Has abstractyes

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