Between Centralization and Fragmentation: The Past, Present, and Future of Phage Collections
Bibliographic record
Abstract
Despite over a century of collecting bacteriophages, there has been a persistent lack of interest in systematically cataloging resulting phage banks. The result was a situation in which the ongoing growth of phage infrastructures was paralleled by an increasing fragmentation of knowledge about collections' contents and existence. Over the last two decades, renewed interest in phage therapy and phage biology has further exacerbated confusion amid a rapid increase in the number of large and small phage collections and an ongoing dearth of coordination and standardized cataloging. Whatever the modalities (isolated phages or genomes), the time has undoubtedly come to create sustainable, interconnected, and equitable phage banking infrastructures. This article reviews both the history and current status of microbial collections, provides a nonexhaustive overview of relevant phage collections, and reflects on the challenges and potential of centralizing therapeutically relevant collections ahead of likely paradigm shifts caused by synthetic biology and artificial intelligence.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".