Progress in understanding the methane sink and methanotrophs in karst caves
Bibliographic record
Abstract
Karst caves are considered sinks for atmospheric CH4 due to their sub-atmospheric CH4 concentrations. Isotopic and molecular analyses suggest that methanotrophic bacteria ( MOB) play an important role in consumption of CH4 in caves. Previous research has established that the biogeographic patterns of microorganisms exist widely and is created and maintained by different ecological processes. Considering the great potential of cave MOB in CH4 oxidation, understanding the assembly and working mechanisms will have practical implications for understanding and utilizing cave ecological resources. In this review, we have summarized the information collected thus far on CH4 sources and sinks in caves, MOB phylogeny, and MOB ecophysiology. We applied this knowledge to discuss the factors that may influence the composition and distribution of cave MOB communities in the context of karst geology. Finally, we review the relevant methods and theories and discuss the opportunities and challenges involved in the predictive description of microbial processes of cave CH4 consumption.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".