Using an updated time‐calibrated family‐level phylogeny of seed plants to test for non‐random patterns of life forms across the phylogeny
Bibliographic record
Abstract
Abstract Diversity and membership of species in a biological community result from the interplay between evolutionary and ecological processes. Plant ecologists often rely on family‐level phylogenies to address various issues of community assembly because phylogenies resolved at the species or genus level are generally not available. Here, we present an updated time‐calibrated family‐level phylogeny that includes all families of extant seed plants (i.e., angiosperms and gymnosperms) in the world, and use the phylogeny to show patterns of genus and species richness and life forms of all seed plant families in the world across the phylogeny. In addition, we use the phylogeny to examine whether life forms (woody vs. herbaceous) of seed plant families in the world are non‐randomly distributed across the phylogeny. Our study shows that life forms exhibit significant phylogenetic signal across the phylogeny of seed plants.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".