Systematics of the Austral–Pacific family Goodeniaceae: Establishing a taxonomic and evolutionary framework
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it