Morphometric Conversions for 33 Shark Species from the Western North Atlantic Ocean
Bibliographic record
Abstract
This study generates and updates mathematical conversions among body length and weight measurements of sharks commonly encountered in the west-ern North Atlantic Ocean. At the initiation of individual research programs, stan-dardized measurements are determined to meet program objectives, yet these mea-surements often vary among programs and may differ within programs over time. Since length is of vital importance to understanding the basic biology of a species (e.g., growth, length at maturity) and to enforce management regulations based on size, it is necessary to have length-length and length-weight conversions to be able to standardize measurements for individu-al species. We compiled length and weight data on sharks from nine research pro-grams operating in the western North Atlantic Ocean from Canada through the Gulf of Mexico to obtain length-length and length-weight conversions for 27 spe-cies and 3 genera consisting of 6 species. Length-length and length-weight conver-sions are presented for all species using over the body fork length as the indepen-dent variable. This study updates and ex-pands previous conversions with new in-formation.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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; both teacher heads agree on what is shown here.
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".