Syngnathus floridae morphometrics and genotyping data
Bibliographic record
Abstract
This is the raw data that corresponds to the manuscript "Sexual selection on non-ornamental traits is underpinned by evidence of genetic constraints on sex-biased expression in dusky pipefish" (DOI: https://doi.org/10.1111/mec.17550). The three .csv datasets contain morphometric data and raw fitness data for all male and female individuals involved in the experiment and the .zip folder contains raw sequencing data. all_fem_meso_floridae: contains raw meaures of the different morphometric traits (length, depth, etc.), info about the trial, and collection date/location for all individual female pipefish. all_mal_meso_floridae: contains raw measures of the different morphometric traits, info about the trial, collection date/location, and pregnancy status for all individual male pipefish. EmbryoParentage: contains the raw male/female fitness data for all pregnant pipefish. Each row represents a section of a male's pouch and contains information about who the confirmed mother was for each of the genotyped embryos and the total number of developed and undeveloped embryos in that section. genotyping_raw_sequences: this is a folder that contains all of the raw genotyping files that correspong to all females, males, and embryos from the successful trials. Within the folder is a subfolder for each trial that contains the indivual .fsa for each pipefish adult or embryo.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.084 | 0.048 |
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".