Medical assessment of suspected traumatic head injury due to child maltreatment (THI-CM)
Bibliographic record
Abstract
Traumatic head injury due to child maltreatment (THI-CM) is a serious form of child abuse with significant morbidity and mortality, particularly in infants and young children. Healthcare providers have important roles to play, including identifying and treating these children, reporting concerns of child maltreatment to child welfare authorities, assessing for associated injuries and medical conditions, supporting children and their families, and communicating medical information clearly to families and other medical, child welfare, and legal professionals. Symptoms associated with head trauma often overlap with those of other common childhood illnesses, and external signs of injury may be subtle or absent. As a result, THI-CM is frequently overlooked and its identification is often delayed, leading to a risk of ongoing injury. Assessing for head trauma in cases of possible child maltreatment includes considering medical causes for clinical findings and assessment for occult injuries. This practice point provides health care providers with guidance for identifying and medically assessing suspected THI-CM in infants and children.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".