Generic realignments in Maxillariinae (Orchidaceae)
Bibliographic record
Abstract
Un reciente análisis filogenético de cuatro regiones de ADN para ca. 354 especies de la subtribu Maxillariinae indican fuertemente que el género Maxillaria, en su circunscripción tradicional, es altamente polifilético. Presentamos una nueva clasificación filogenética para Maxillariinae que reconoce 17 géneros.Los cambios necesarios incluyen: 1) la resurrección de los géneros Camaridium, Heterotaxis, y Ornithidium; 2) el reconocimiento de los recientes segregados genéricos Brasiliorchis (=Maxillaria secciónRepentes), Christensonella (=Maxillaria sección Urceolatae), Nitidobulbon (en prensa), y una Sauvetrea recircunscrita (=Maxillaria sección Trigonae); 3) la adopción de los nuevos géneros Inti (=Maxillaria secciónPolyphyllae), Mapinguari, Maxillariella (=Maxillaria secciones Ebulbes y Erectae), y Rhetinantha; 4) transferencias de Maxillaria sección Reflexae a Ornithidium, y Maxillaria sección Rufescens a Mormolyca; y 5) puesta en sinonimia de los géneros Adamanthus, Pseudomaxillaria, Psittacoglossum y Sepalosaccus (bajo Camaridium), Anthosiphon (bajo Cryptocentrum), Chrysocycnis (bajo Mormolyca), Dicrypta, Marsupiaria y Pentulops (bajo Heterotaxis), y Laricorchis, Neo-Urbania, y Siagonanthus (bajo Ornithidium). Algunos sinónimos nuevos al nivel de especie también son presentados.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".