Systematics of the Austral–Pacific family Goodeniaceae: Establishing a taxonomic and evolutionary framework
Bibliographic record
Abstract
Abstract The Goodeniaceae, close relatives of the Asteraceae, are a conspicuous part of the flora of Australia and many islands in the Pacific. A comprehensive molecular phylogenetic analysis of the family using cpDNA regions trnL–F and matK is presented, including representatives of all genera and nearly half the species. The family resolves into the two large clades: ‘LAD’ (Lechenaultia, Anthotium, Dampiera) and ‘Core Goodeniaceae’ (Brunonia, Scaevola, Diaspasis, Coopernookia, Goodenia, Selliera, Velleia, Verreauxia, Pentaptilon), which are also supported by morphological characters. The former Brunoniaceae, comprising the single species Brunonia australis, is clearly placed within the Goodeniaceae as sister to the remainder of Core Goodeniaceae while possessing many autapomorphic characteristics. Current subgeneric taxonomic groups are partially supported as monophyletic within Goodenia and Dampiera, but are generally non–monophyletic within Lechenaultia and Scaevola. Fruit types and floral traits involved in pollination and adaptations to aridity have evolved in a highly convergent fashion within several major clades. Rates of molecular evolution and number of extant taxa differ at several points between sister clades, particularly between Brunonia and the rest of Core Goodeniaceae, and between Scaevola s.l. and Goodenia s.l. Future taxonomic changes will involve the synonymization of Selliera and monotypic Diaspasis and, pending more comprehensive taxon and molecular sampling, the large, paraphyletic genus Goodenia may be split into at least three genera.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".