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Record W2911929033 · doi:10.1212/wnl.0000000000007077

Live-cell based assays are the gold standard for anti-MOG-Ab testing

2019· letter· en· W2911929033 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.

Bibliographic record

VenueNeurology · 2019
Typeletter
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineGold standard (test)BiomarkerStandard of careDiagnostic testAntibodyIntensive care medicineImmunologyInternal medicineBiologyPediatricsGenetics

Abstract

fetched live from OpenAlex

Over the last decade, knowledge regarding antibodies (Abs) associated with inflammatory disorders of the CNS has revolutionized diagnosis and clinical care. Examples of highly specific Ab assays that are now widely used to diagnose and make rapid treatment decisions in this area include those for Abs directed at the aquaporin-4 water channel and NMDA receptor. This has resulted in the acceleration of knowledge regarding treatment and has decidedly improved outcomes among these patient populations. Challenging the field is the vast majority of patients who have syndromes that lack a specific biomarker.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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