Estimation of Male Reproductive Success of Marine Fisheries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The subject of reproductive potential of fish populations is dominated by studies on the female gender. Studies on male reproduction are relatively few, but have increased in number during the previous decade. The objectives of this contribution were to describe and quantify the reproductive traits that make up the viable sperm production of a population. Some of these reproductive traits were easily measured from wild fish (e.g., mature testes weight), and others were more easily measured on captive fish (e.g., fertilization potential and sperm motility). Results of laboratory and field studies were then integrated to generate estimates of viable sperm production of a fish stock. A number of experimental protocols have been employed over the years to assess male fertility. The strengths and weaknesses of the different experimental approaches were reviewed and appropriate recommendations given towards establishing standardized protocols. Although the review is broad in nature, and includes references to a number of marine fishes, it concentrated on exploited species that occur in the North Atlantic and Baltic Sea within the taxonomic groups gadoidae, pleuronectoidae and clupeidae (Clupeiformes). In addition, published data on male reproductive traits of species in these taxa were tabulated and summarized. The terms of interest included sex ratio, maturity state, testes weight, sperm fertilization potential (artificial fertilization and paired mating), sperm density, sperm motility and paternal effects on early life history traits.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it