New literature. Cristini, Marco. The genus Aeonium
Bibliographic record
Abstract
[Book review] \n \nAeonium is a small but highly diverse genus of Crassulaceae that is generally of reasonably easy culture if a few basic rules are followed, making it very popular and highly desirable with collectors. The genus has been well treated in recent literature, whilst this latest book admirably spans the range from monograph to handbook of the genus. \n \nThe introductory matter occupies roughly a quarter of the book. \n \nThe bulk of the book covers the species as they are found in habitat with the species arranged by the countries where they occur naturally. In total the author recognises 34 species and 9 subspecies. \n \nIncluded are some taxonomic reassessments and novelties. \n \nThe book ends with an exceptionally thorough bibliography, far more extensive than in any previous book on the genus. \n \nOverall this latest treatment is a thorough survey of Aeonium as it occurs in the wild and consequently it is highly recommended.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.213 | 0.174 |
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".