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Record W4251578613 · doi:10.1002/9781118344729.ch3

Molecular Diagnostic Approaches to Hemostasis

2016· other· en· W4251578613 on OpenAlexaff
Paula James, David Lillicrap

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsQueen's University
Fundersnot available
KeywordsHemostasisMedicineDiagnostic testMedical diagnosisIntensive care medicineComputational biologyBioinformaticsBiologyPathologySurgeryPediatrics

Abstract

fetched live from OpenAlex

The genes encoding clotting factors were among the first to be cloned in the 1980s, and over the past 30 years, there has been an increasing application of this information into the clinical management of disorders of hemostasis and thrombosis. While most initial diagnoses will still rely upon standard phenotypic tests of hemostasis, the addition of molecular diagnostic analysis has provided significant benefits in certain situations. There is now a wealth of molecular knowledge relating to the more prevalent inherited coagulation disorders, and an increasing use of this information for family planning purposes. In some instances, molecular analysis is also being employed as a secondary, confirmatory diagnostic test. Finally, with the arrival of next generation sequencing technologies, we are beginning to witness the wider application of genetic testing for inherited diseases of hemostasis.

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.003

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 head0.086
GPT teacher head0.286
Teacher spread0.200 · 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
GenreOther

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

Citations1
Published2016
Admission routes1
Has abstractyes

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