More Diversity and More Convergence in Tunicate Biology
Bibliographic record
Abstract
The 5th International Tunicate Meeting (ITM5) was held at the Okinawa Industry Support Center (Naha, Okinawa, Japan) from June 21 to 25, 2009, with support from the Okinawa Institute of Science and Technology (OIST) and the Inoue Foundation for Science. Tunicates are defined as deuterostome metazoans that have notochord in the tail at one point or at all times during their life. Presence of a cellulosic integument is also a synapomorphy for this taxon, which consists of three classes: Ascidiacea, Thaliacea, and Appendicularia. Ascidians, the largest class, are always sessile, while thaliaceans and appendicularians are pelagic throughout their life. Many unique and interesting data sets are available that facilitate research on tunicates, such as full-genome information for Ciona, numerous ESTs with in-situ hybridization images, well-documented cell lineages during embryogenesis, among many others. The present note gives an overview of the topics from the sessions and plenary lectures of ITM5. As seen below, the tunicate scientific community is worldwide, with flexible networks among tunicate biologists, and a particularly wide range of species diversity and phenomena were presented during ITM5. ITM6 is planned for 2011 in Montreal.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".