Maxillaria, an unfinished monograph.
Bibliographic record
Abstract
The genus Maxillaria is a large and tediously diverse genus of orchids from throughout the \nNeotropics, ranging from the U.S.A. (Florida) to Bolivia and the West Indies. Estimates put the \nnumber of species in the genus at 420 (Dressler, 1993), although this appears to be a significant \nunderestimate based on recent findings and on-going research by several investigators. While \nall large orchid genera are morphologically variable, Maxillaria exceeds its brethren by being \nwidely variable in almost all features. Plants range from “miniatures” only a few inches high \nsuch as M. lilliputana D. E. Benn. & Christenson and M. vittariifolia L. O. Wms., to giants of \nup to 10 feet tall such as M. gigantea (Lindl.) Dods. Flowers in Maxillaria occur in every color \nincluding blue, and range from solitary large showy flowers more than five inches across to \nclusters of small flowers less than one quarter of an inch across.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 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; both teacher heads agree on what is shown here.
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".