The ins and outs of integrative digestive biology
Bibliographic record
Abstract
The digestive system facilitates exchanges between animals and their environments. It not only converts resources into energy and growth but also shapes ecosystem processes through waste outputs, all while mediating an animal's relationship with complex microbial communities. The Special Issue: The Integrative Biology of the Gut delves into many aspects of this expansive relationship. Further, this Commentary collects the special issue papers under themes to highlight and explore the physiology of the digestive system and the plasticity that enables its acclimatization to dietary and environmental changes. The themes that have been identified portray the gastrointestinal (GI) tract as an integrative moderator of physiology, and show that when this system is explored using novel techniques or by asking innovative questions, one can reveal phenomena with applications well beyond digestive biology. Further, we discuss how embracing multidisciplinary approaches - including systems biology, evolutionary comparisons and environmental considerations - will allow us to use the unique physiology of the GI tract to form critical insights into evolved organismal biology, microbial symbioses and ecological stewardship. Ultimately, the pivotal role of the GI tract in connecting internal physiology with external ecological dynamics across taxa exemplifies its value as a model system.
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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.021 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".