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Record W2159733201 · doi:10.1080/15513810601015753

MORTALITY AND PATHOLOGICAL FINDINGS IN C (OPITZ TRIGONOCEPHALY) SYNDROME

2006· review· en· W2159733201 on OpenAlexaff
John M. Opitz, Angelica R. Putnam, Jessica Comstock, Steven Chin, Janice L. B. Byrne, Anne Kennedy, Maureen J. Frikke, Chantal Bernard, Steffen Albrecht, V Der Kaloustian, Juliana G. Szakacs

Bibliographic record

VenueFetal and Pediatric Pathology · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMontreal Children's HospitalMcGill University
Fundersnot available
KeywordsMedicineConsanguinityPathogenesisPathologicalPediatricsGeneticsGenetic heterogeneityTrigonocephalyPathologyBiologyGeneSurgery

Abstract

fetched live from OpenAlex

Even as a rare multiple congenital anomalies/mental retardation syndrome, the C-syndrome (CS, or Opitz C-trigonoecephaly syndrome) is, at long last, beginning to attract attention because of its developmental and causal complexity. Also, the possibility that the apparently balanced translocation recently described in an affected Japanese boy may soon provide a molecular/causal insight into this disorder. The manifestations recorded in the previously published patients, those autopsied within recent years, and the unpublished instances in our files suggest that the CS is a heterogeneous genetic disorder, predominantly sporadic but with sufficient familial cases (at times with consanguinity) to allow postulation of an entity due to autosomal dominant mutations with a high rate of germinal mosaicism, or due to both autosomal dominant mutations and an autosomal recessive genocopy. In any event, elucidation of cause and pathogenesis of CS will, in due time, shed light on its developmental pleiotropy, rarity in liveborn infants, prevalence in stillborn fetuses, recurrence risk in humans, and occurrence in other animals (e.g., mice) to further understanding of pathogenesis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.044
GPT teacher head0.309
Teacher spread0.265 · 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

Citations17
Published2006
Admission routes1
Has abstractyes

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