Bibliographic record
Abstract
Clusters of genes that encode pigment biosynthesis and pigment-binding proteins have been found in several species of anoxygenic photosynthetic bacteria. Transcripts in excess of ten kilobases in length have been found to encode what were previously thought to be separate operons with independent promoters in Rhodobacter capsulatus. This transcriptional organization of operons is called a superoperon, and is important for efficient transition in metabolism when cells are shifted from aerobic respiratory to anaerobic photosynthetic growth conditions. Since some key features of superoperons are present in other species of photosynthetic bacteria, the clustering of photosynthesis genes may have been evolutionarily conserved because of advantages accrued to cells that have linked transcription units into superoperons. The evidence for the types of transcription units in several species of anoxygenic photosynthetic bacteria is summarized and compared, with an emphasis on unifying patterns of transcript organization. Because much of the data are not conclusive, some of the conclusions are somewhat speculative in nature. Since more is known about transcripts of Rb. capsulatus, it is used as a model for the other species. The reader is advised to consult recent reviews of related areas (Wellington et al., 1992; Klug, 1993).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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".