Bibliographic record
Abstract
An influx of asylum seekers and migrants from Venezuela has been seen since the partial reopening of Brazil's northern border in Roraima state.Of the hundreds of migrants arriving on a daily basis, most wind up in Pacaraima, a small town within Roraima state, awaiting legal status request processing.Clearing migration status is a slow process; the migrants are left with no healthcare or shelter accommodations from the town.This has resulted in thousands of migrants having to live on the streets during their wait.In response to this, Doctors Without Borders/Médecins Sans Frontières (MSF) has establised mobile clinics in Pacaraima and Boa Vista, offering medical, sexual, reproductive, and mental health services.1 The MSF teams cared for 14 551 patients between July and September, after the partial border opening and lifting of COVID-19 restrictions in July. 1 Respiratory tract and gynecological infections were the main reason for consultation.69% of patients consulted by the mental health team had critical symptoms of stress, depression, and anxiety due to family separation, displacement, and experienced violence.1
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.840 | 0.733 |
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".