ISIS-Fish Database: Life History and Spatial Distribution of Sole, Megrim, Anglerfish, Thornback ray, and Cuckoo ray Populations in the Bay of Biscay
Bibliographic record
Abstract
In the context of the MACCO project (https://www.macco.fr/), we have developed an ISIS-Fish database with the objective of describing the spatial and monthly life cycle of 7 fish species of commercial interest in the mixed demersal fishery in the Bay of Biscay. In the case of megrim, cuckoo ray, thornback ray, anglerfish and sole, the population dynamics have been described in detail, both by age class and by global model. In addition, the distribution areas of these species according to their life stage have been mapped and included in the database. The settings of Hake and nephrops population dynamics are derived from a previous model (Seanoe https://doi.org/10.17882/86233). The database is accompanied by all the data and information necessary for the reproduction of the results and the assessment of the variability of the system. The biological parameters of each species are presented in summary species sheets with references, and in Excel files that contain all the variability observed in the literature and in the sea survey data. Our mapping work allow an appreciation of the variability between months and years, as illustrated through commented exploratory reports. At the end, the ISIS-Fish database is accompanied by a simulation and a technical validation report, which demonstrate the efficacy of the modelling process as parameterized. The data project includes 1) the ISIS-Fish database and all the ISIS-Fish files required to re-run the simulation of the 7 populations dynamics, 2) the species sheets for megrim, cuckoo ray, thornback ray, anglerfish and sole and 3) the R scripts to reproduce maps of the 5 species. All the data are reproductible using isis-fish-4.4.8.1 (isis-fish.org) and R 4.3.2. WARNING : Due to excessively long file paths, decompression may fail on Windows. To prevent this, please extract the archive directly to a root folder (e.g., C:\).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 0.011 |
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".