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Record W2460465638 · doi:10.1385/1-59259-300-3:299

Molecular Cytogenetics in Reproductive Pathology

2003· article· en· W2460465638 on OpenAlexaff
Hélène Bruyèrè, Evica Rajcan‐Separovic, Dagmar K. Kalousek

Bibliographic record

VenueMolecular Cytogenetics · 2003
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsBC Children's HospitalVancouver Hospital and Health Sciences Centre
Fundersnot available
KeywordsCytogeneticsMolecular cytogeneticsBiologyFish <Actinopterygii>Evolutionary biologyComputational biologyPathologyMedicineGeneticsChromosomeFisheryGene

Abstract

fetched live from OpenAlex

Conventional cytogenetic analysis has contributed for the last 35 yr to establishing the etiology of spontaneous abortions (SAs), representing an important diagnostic aid for reproductive pathologists, geneticists, and physicians. There is however a problem in obtaining a cytogenetic result from 10–30% of abortion specimens owing to culture failure. In addition, growth of maternally-derived cells in culture can result in a false negative result. Nowadays, new molecular cytogenetic tools are available to get cytogenetic information in almost all cases of SA submitted to the Cytogenetics laboratory.

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)0.005
metaresearch head score (Gemma)0.005
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.007
Scholarly communication0.0020.004
Open science0.0010.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.003

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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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
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

Citations3
Published2003
Admission routes1
Has abstractyes

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