Bibliographic record
Abstract
One of the better-studied aspects of archaea physiology is the understanding of various types of taxis (phototaxis, chemotaxis), especially in halobacteria. Bacterial flagella and archaeal flagella are responsible for swimming, while type IV pili are involved in surface translocation or twitching. The study of phototaxis and chemotaxis in Halobacterium salinarum is a rare instance where significant biochemical and genetic studies on taxis in an archaeon have been reported. Transducer proteins are responsible for the detection of the external signal that is transmitted to the internal components of the chemotaxis system. An htrXI deletional mutant is defective in chemotaxis toward glutamic acid and aspartic acid and devoid of methyltransferase activity. Continued study of archaeal flagellation and chemotaxis is expected to yield the same far-ranging information about the much less well-studied archaea. Significant progress in understanding motility, flagellation, and chemotaxis will occur as the genetic tools continue to improve in the various model organisms. Study of the flagella-associated genes which are often cotranscribed with flagellins will, it is hoped, yield important information about their, so far completely unknown, role in archaeal flagellation. It is expected that the continued study of archaeal flagellation and chemotaxis will lead to novel discoveries about these structures and processes in archaea, and these may in turn lead to insights into the understanding of bacterial chemotaxis and type IV pili assembly, structure, and function.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".