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Record W2778185998 · doi:10.1503/cmaj.170561

Newborn screening for severe combined immunodeficiency: a primer for clinicians

2017· review· en· W2778185998 on OpenAlexaffvenue
Catherine M. Biggs, Élie Haddad, Thomas B. Issekutz, Chaim M. Roifman, Stuart E. Turvey

Bibliographic record

VenueCanadian Medical Association Journal · 2017
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineBC Children's HospitalSickKids FoundationDalhousie UniversityUniversity of TorontoUniversity of British ColumbiaHospital for Sick ChildrenIzaak Walton Killam Health Centre
FundersNational Institute of Allergy and Infectious Diseases
KeywordsSevere combined immunodeficiencyImmune systemImmunodeficiencyPrimer (cosmetics)Primary immunodeficiencyImmunologic Deficiency SyndromesMedicineHematopoietic cellHaematopoiesisHematopoietic stem cell transplantationImmunologyNewborn screeningStem cellHuman immunodeficiency virus (HIV)Intensive care medicineBioinformaticsPediatricsBiologyTransplantationInternal medicineGenetics

Abstract

fetched live from OpenAlex

KEY POINTS Severe combined immunodeficiency is caused by genetic defects that profoundly impair development of the immune system.[1][1],[2][2] The condition is fatal early in life if affected infants do not receive therapy to restore immune function in the form of hematopoietic stem cell

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0030.002
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 head0.053
GPT teacher head0.341
Teacher spread0.288 · 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 designNot applicable
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

Citations34
Published2017
Admission routes2
Has abstractyes

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