Analysis of Clinical Common Pathogenic Bacteria Distribution and Drug Resistance
Bibliographic record
Abstract
Objective To explore the distribution and rule of pathogen strains in the third quarter and fourth quarter of 2012, and to provide the basis for clinical medication. Methods To retrospectively analyze the bacterial culture and drug susceptibility test results in the third quarter and the fourth quarter of 2012. Results There were isolated 932 plants in the third quarter, and 915 plants isolated in the fourth quarter. Heavy drug resistance rates of detection of Pseudomonas aeruginosa decrease slightly. There was more multiple drug resistance of A. baumanii, Escherichia coli, Klebsiella pneumoniae, and methicillin-resistant Staphylococcus aureus in the fourth quarter than in the third one. ConclusionsThe resistant strain increases in the fourth quarter. We should attach importance to the clinical examination, bacterial drug resistance monitoring, and rational use of antimicrobial agents.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".