MétaCan
Menu
Back to cohort
Record W1978573368 · doi:10.1136/ebmh.6.1.19

Markers of minor brain damage are associated with developmental performance in preschool children

2003· letter· en· W1978573368 on OpenAlexaboutno aff
Suzann K. Campbell

Bibliographic record

VenueEvidence-Based Mental Health · 2003
Typeletter
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsPediatricsMedicineWeb of scienceGynecologyInternal medicine

Abstract

fetched live from OpenAlex

(2002) Developmental Medicine and Child Neurology 44, 323; Gosselin J, Amiel-Tison C, Infante-Rivard C, Fouron C, Fouron JC. . Minor neurological signs and developmental performances in high risk children at preschool age. . May; . : . –8. . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: Is there a relationship between minor neurological signs and later developmental performance in high risk preschool children? Cohort study. One hospital in Montreal, Canada; January 1991 to June 1998. 72 preschool children at risk of poor development due to maternal placental insufficiency (documented with an abnormal umbilical artery Doppler velocity waveform). Mean age 4 years (range 2–5 years); 53% female. Exclusion criteria were gestational age under 29 weeks at birth; families that did not speak French at home; location outside metropolitan area; chromosome disorders; congenital malformations; consanguinity, and evidence of socio-familial problems such as mental illness, drug addiction, receipt of welfare or physical abuse. A short neurological examination was used to assess neurological status. Participants were categorised as … [1]: {openurl}?query=rft.jtitle%253DDevelopmental%2Bmedicine%2Band%2Bchild%2Bneurology%26rft.stitle%253DDev%2BMed%2BChild%2BNeurol%26rft.aulast%253DGosselin%26rft.auinit1%253DJ.%26rft.volume%253D44%26rft.issue%253D5%26rft.spage%253D323%26rft.epage%253D328%26rft.atitle%253DMinor%2Bneurological%2Bsigns%2Band%2Bdevelopmental%2Bperformance%2Bin%2Bhigh%2Brisk%2Bchildren%2Bat%2Bpreschool%2Bage.%26rft_id%253Dinfo%253Adoi%252F10.1017%252FS0012162201002158%26rft_id%253Dinfo%253Apmid%252F12033718%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1017/S0012162201002158&link_type=DOI [3]: /lookup/external-ref?access_num=12033718&link_type=MED&atom=%2Febmental%2F6%2F1%2F19.atom [4]: /lookup/external-ref?access_num=000175692600007&link_type=ISI

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.338
Teacher spread0.285 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueEvidence-Based Mental HealthSame topicNeonatal Respiratory Health ResearchFrench-language works237,207