Canadian Practice Guidelines for Surgical Intra‐Abdominal Infections
Bibliographic record
Abstract
Recommendation 4. Due to the predominance of certain virulent pathogens in IAIs, the concept of 'core' pathogens is recommended for planning initial empirical antimicrobial therapy (A-2 evidence). Recommendation 5. The microbiology of community-acquired IAIs in the absence of previous antimicrobial exposure generally consists of 'core' pathogens that are readily predictable (A-2 evidence). In such patients and particularly those with mild to moderate severity of illness, routine bacteriological cultures of abdominal fluid or pus and antibiotic susceptibility testing of intra-abdominal isolates are optional and not routinely required to guide empirical antimicrobial therapy. However, such cultures may be useful for ongoing surveillance studies and generating local epidemiological data regarding antimicrobial susceptibility profiles and emerging resistance (A-2 evidence). Recommendation 6. Patients with health care-associated IAIs who have prolonged previous hospitalization (five days or more), are severely ill (APACHE II score of 15 or greater) or have received previous antimicrobial therapy (more than two days) are at a greater risk for antimicrobial-resistant pathogens. In AMMI CAnAdA guIdelInes 2010 Pulsus Group Inc.
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 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 | 0.006 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.053 | 0.018 |
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".