Screening and referral to identify children at risk for FASD: Search for new methods 2006-2013.
Bibliographic record
Abstract
As part of the Canadian Association of Paediatric Health Centres Taskforce on FASD Screening commitment to further pilot, validate and evaluate the multiple components of the Canadian FASD Screening Tool Kit, it was deemed necessary that recent developments and/or improvements in FASD screening were identified and considered. In 2008 a literature review of methods for screening for FASD was published until 2006 and identified five tools which met pre-set criteria. A review of all new papers was published from the period January 2006 until July 1, 2013. Out of 1392 papers, two new screening methods met the inclusion criteria: Clarren et al's new norms for palpebral fissure length by age in Canada; and Breiner et al's extension of the Neurobehavioral Screening Test (NST) to age 4 years. Further work is needed to validate these methods in other settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.041 | 0.043 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".