The passage and propagation of fecal indicator phages in birds
Bibliographic record
Abstract
The presence of F-specific phages in the diet of birds influenced the presence of these fecal indicators in their feces. F-specific phage concentrations in the feces of Canada geese and pigeons, which are normally low, increased greatly the same day coliphage MS2 was added to their diets. F-specific phage concentrations decreased to the original low levels a week after the phage-spiked feed was removed. Geese kept in pens that were cleaned regularly to reduce fecal-oral contamination had significantly lower somatic coliphage concentrations in their feces than wild geese had in their feces. Somatic coliphage concentrations in feces of feral pigeons were typically low with an occasional fecal sample having high numbers of either one of the two types of phages seen in this population of birds. Sometimes many birds had high numbers of only one type of phage in their feces. This lasted only a day and was probably due to fecal contamination of the feeding pans by the pigeons. The degree to which birds are a source of phage indicators of fecal pollution can change in a short period of time. Thus the presence of contaminated feeding sites should be considered before ruling out animals as a possible source of fecal indicators. F-specific phages may be useful tracers for modeling viral transmission and tracking feeding habits in birds. Journal of Industrial Microbiology & Biotechnology (2000) 24, 127–131.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".