MOLECULAR-GENETIC INVESTIGATIONS OF STURGEON (ACIPENSERIDAE). THEMATIC ENGLISH LANGUAGE BIBLIOGRAPHY
Bibliographic record
Abstract
Purpose. Forming a thematic bibliographic list of English-language publications on certain issues of molecular genetic and cytogenetic studies of sturgeon (Acipenseridae).Methods.The complete and selective methods were applied in the process of the systematic search.The bibliographic core was made up of literary sources from electronic archives of worldrenowned specialized scientific journals. In particular: Journal of Applied Ichthyology, Conservation Genetics, Fish Physiology and Biochemistry, Canadian Journal of Fisheries and Aquatic Sciences, Transactions of the American Fisheries Society, Chinese Journal of Oceanology and Limnology etc.Results.A thematic list of the main publications was composed: thematic scientific collections, materials of international scientific and practical conferences, scientific articles and abstracts of dissertations.It consists of 156 English-language papers.Presented publications cover the time interval for the last thirty years.The literary sources are arranged in alphabetical order by author or title, and described according to DSTU 8302:2015 "Information and documentation.Bibliographic reference.General principles and rules of composition", with the amendments (code UKND 01.140.40), as well as in accordance with the requirements of APA style -international standard of references.Practical value.The prepared list may be useful for scientists, practitioners, students, whose sphere of interests is related to issues of molecular genetic and cytogenetic research, as well as biotechnology.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.021 | 0.020 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 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; 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".