An optical assessment of the nelson/hayes river plume dispersion extent in hudson bay (canada)
Bibliographic record
Abstract
The Nelson/Hayes River (NHR), located in the southwestern edge of the Hudson Bay (HB) (Canada) (Fig. 1) contributed approximately 47% of the mean annual discharge of the western HB during the period 1964-2013 (Déry et al, 2016). This voluminous freshwater input controls the ocean processes in the south western to southern HB. Moreover hydroelectric regulation of the Nelson River has modified the discharge resulting in an increased winter discharge and flattened summer hydrograph . This called for a need to investigate the revised seasonal signals of the river runoff in a spatio-temporal scale. Ocean color remote sensing approach provides a convenient way to study the mixed layer processes within the photic depth limit (Wozniak et al, 2010). This study has attempted to detect the NHR plume dispersion limit using color dissolved organic matter (CDOM) as the ocean color proxy for terrestrial discharge, (Fichot et al, 2013).
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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 | 0.001 | 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 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".