A Ten-year Report of Drug and Poison Information Center in Mashhad, Iran 2007-2017.
Bibliographic record
Abstract
December 2017, were retrieved from its database for analysis. A total of 100997 cases were analyzed. The most frequent calls were from individuals in the age group of 18 to 60 years old (70.21%). The majority of callers were women (73.08%). The public made 95.11% of calls, and 4.89% were related to health care professionals. The queries were mainly related to therapeutic uses of drugs (24.03%), followed by adverse drug reactions (18.96%). Given that 99.23% of calls were related to drug information inquiries, the most common drugs questioned about were antimicrobial (12.3%) and vitamin and minerals (10.76%), whereas 0.77% of calls were about poisoning and the majority of them were due to drugs poisoning. Micromedex® was the most commonly used reference to answer the inquiries. This report shows an updated epidemiological evaluation on recorded calls in the drug and poison information center in Mashhad. Since there is no other similar report, this can provide valuable information on the trend of drug usage and may guide further strategies in giving proper information to public and health centers.
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".