DFO Quebec Region Biodiversity of the Arctic surfclam hydraulic dredge survey in the St. Lawrence Estuary (2017)
Bibliographic record
Abstract
A research survey on the Arctic surfclam (Mactromeris polynyma) was carried out by DFO in 2017 in the Estuary of the St. Lawrence River on the clam bed named Forestville using a "New England" type hydraulic dredge. The main objective of this survey was to study the spatial distribution of pre-commercial (anteroposterior length of less than 80 mm) and commercial (anteroposterior length equal or greater than 80 mm) sizes of Arctic surfclams as well as to assess the abundance and diversity of benthic species associated with the sandy habitat of the Arctic surfclams. Only benthic species data associated with Arctic surfclams habitat are presented in this dataset. Un relevé de recherche sur le stock de la mactre de Stimpson (Mactromeris polynyma) a été réalisé par le MPO en 2017 dans l'estuaire du Saint-Laurent sur le gisement nommé Forestville à l’aide d’une drague hydraulique de type « Nouvelle-Angleterre ». L’objectif principal de ce relevé était d’étudier la répartition spatiale des tailles pré-commerciale (longueur antéropostérieure de moins de 80 mm) et commerciale (longueur antéropostérieure égale ou plus de 80 mm) de la mactre de Stimpson ainsi que d’évaluer l’abondance et la diversité des espèces benthiques associées à l’habitat sableux de la mactre de Stimpson. Seules les données des espèces benthiques associées à l’habitat de la mactre de Stimpson sont présentées dans ce jeu de données.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".