Bibliographic record
Abstract
Abstract Marine fungi are an ecological, not a taxonomic, grouping, known primarily as saprotrophs from intertidal zones where they represent an important food source for invertebrates. These osmotrophs also play important roles as mutualists and pathogens in marine systems, and provide a wealth of antimicrobial and bioactive compounds. Currently, our knowledge of marine fungal diversity, biology and ecology comes mainly from intertidal zones such as sand beaches, saltmarshes and mangroves. However, fungi are also present in the water column and at depth, where many discoveries await. With modern molecular techniques and many marine habitats unexplored for fungi, this growing field is poised to make important contributions to our knowledge of the ecological and biogeochemical functions of the oceans. Critical to this is identifying keystone fungal players, their ecological significance, and distribution patterns. Key Concepts Marine fungi are an ecological, not a taxonomic assemblage. Although intertidal saprotrophs are the most studied, fungi exist and are understudied in many marine habitats, including the water column and deep sea. Many novel compounds have been isolated from marine fungi. Mycologists must participate in conservation planning to protect the future of marine fungal biodiversity. Marine fungi are understudied and it is estimated many new species await discovery.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.073 | 0.057 |
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".