Revision of the generic classification of pike cichlids using an integrative phylogenetic approach (Cichlidae: tribe Geophagini: subtribe Crenicichlina)
Bibliographic record
Abstract
Abstract Pike cichlids form the largest clade of Neotropical cichlids, with over 100 species presently classified in two genera: Crenicichla (93 species widespread in rivers of South America east of the Andes) and Teleocichla (nine rheophilic Amazonian species). Here, we combined a new dataset of 216 morphological characters with molecular data compiled from published sources, comprising 74 terminal taxa of pike cichlids (68 out of 102 valid species, plus four putative new species), and performed phylogenetic analyses using maximum likelihood, Bayesian inference, and parsimony. Based on a synthesis of our results and previous phylogenies, we propose a new classification in which the clade including all pike cichlids is elevated to the rank of subtribe (Crenicichlina) and the genus Crenicichla is redefined, including three subgenera: Crenicichla (monotypic with the type species), Batrachops (resurected as subgenus), and Lacustria (new subgenus). Teleocichla is maintained as a valid genus and four new genera are proposed: Wallaciia, Saxatilia, Hemeraia, and Lugubria. Our results on character mapping support the hypothesis that resource partitioning in environments with fast-flowing water and rocky beds might have played a role in the origin or maintenance of the great diversity of pike cichlids, resulting in parallel evolution of similar ecomorphs.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".