Seafloor and Shallow Subsurface of the St. Lawrence River Estuary
Bibliographic record
Abstract
A new surficial geology map of the St. Lawrence River Estuary illustrates sediment distribution and variability in a relatively confined environment. This map is based on recently collected geophysical and geological data that provide a link between submarine land-forms and sedimentary units. The strong dichotomy between the areas to the northeast and to the southwest of the Saguenay River is the main characteristic of the St. Lawrence River Estuary. To the northeast, the Lower St. Lawrence Estuary is mainly floored by fine silts within the Laurentian Channel and sediments varying from sands to fine silts on its margins. To the southwest, the Middle Estuary corresponds to a high-energy sedimentary environment that precludes the deposition of fine-grained sediments. In the latter area, Holocene sediments are either absent or correspond to a sand unit shaped by currents. Sommaire Une nouvelle carte de la geologie des sediments superficiels du fond marin de l’estuaire du Saint-Laurent presente un cas de la distribution et de la variabilite des sediments dans un environ-nement relativement confine. Cette carte est basee sur des donnees geophysiques et geologiques recentes qui assurent un lien entre le relief sous-marin et les unites sedimentaires. La forte dichotomie entre les zones situees au nord-est et au sud-ouest de la riviere Saguenay est la caracteristique principale de l’estuaire du Saint-Laurent. Au nord-est, le fond de l’estuaire maritime du Saint-Laurent est recouvert de silts fins au sein du chenal Laurentien et par des sediments variant de sables a silts fins sur ses marges. Au sud-ouest, l’estuaire moyen correspond a un environnement sedimentaire de forte energie qui empeche le depot de sediments fins. Dans cette derniere zone, les sediments holocenes sont absents ou correspondent a une unite sableuse faconnee par les courants.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".