Challenges for organismic taxonomical revisions in the age of phylogenomics: A response to Zhang et al. (2019)
Bibliographic record
Abstract
Tribe Emesidini Seraphim, Freitas Kaminski (Lepidoptera: Riodinidae) is distributed in America from southwest Canada to Brazil and Paraguay, and includes 57 species and 54 subspecies (Callaghan Lamas 2004; Penz DeVries 2006; Gallard 2008; Pelham 2008; De la Maza De la Maza 2017 a,b; Kaminski et al. 2017; Seraphim et al. 2018; Trujano-Ortega et al. 2018; Zhang et al. 2019). The tribe has great taxonomic, morphological and ecological diversity, as well as wide geographic and seasonal variation. This great variation and broad geographic range of some genera entail the need for a taxonomic review (Espeland et al. 2015; Trujano-Ortega et al. 2018).
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 | 0.000 | 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) | 0.003 | 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; a candidate call from one teacher head, 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".