Early diagnosis of abnormal development of preterm newborns: assessment instruments
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.
Bibliographic record
Abstract
OBJECTIVE: To review the literature regarding screening psychomotor tests for the early identification of developmental problems. SOURCES: A search on SciELO, PubMed and Google Scholar was performed using the terms "prematurity," "developmental delay," "cerebral palsy," "early diagnosis" and "evaluation tests." SUMMARY OF THE FINDINGS: A total of 455 references were listed, and 174 studies were selected for this review based on title, relevance, and abstract. Only original and electronically available material, from 1985 forward, with information on design, applicability, and psychometric properties of those tests was included. CONCLUSIONS: Screening tests are important to speed the beginning of treatment measures in order to allow for better developmental outcome. Among the many tests that can be employed for this purpose, the DENVER II and the Alberta Infant Motor Scale are the most often used in Brazilian studies. The Movement Assessment of Infants is starting to be used in our country. Two other tests are recommended in the literature due to their high sensibility and specificity: the Test of Infant Motor Performance and the General Movements.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it