Review of 1 Year-s Activity in the Grampian Travel Clinic: The Importance of the Oil Industry
Bibliographic record
Abstract
BACKGROUND: A review of the activities of the Grampian travel clinic was carried out over 1 year to obtain an overall perspective of the clinic workload and to determine how much of the workload was dependent on the oil industry. METHODS: A specially designed data collection sheet was completed for each of the 669 consultations conducted at the Grampian travel clinic, Aberdeen, between February 1, 2002, and January 31, 2003. RESULTS: Patients attending the clinic came in equal numbers from the city of Aberdeen and the Grampian region. Twenty-five percent were traveling for work purposes: 87.4% of this travel was oil related, and most patients were headed to Africa. The commonest vaccines given were for yellow fever, Japanese B encephalitis, and rabies, reflecting the specialist nature of the clinic. Most travelers did leave adequate time for immunization before travel. The public is still apprehensive about using mefloquine as malarial prophylaxis. CONCLUSIONS: Most attendees were traveling on holiday, but a quarter of the consultations were for travel related to the oil industry. Almost 70% of attendees had already visited their general practitioner and were therefore attending the clinic for specialist advice and vaccines. There is a need for increased clinic capacity.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".