Long-term and high-resolution time series datasets of vent species abundance from the Grotto hydrothermal edifice (Main Endeavour Field, Juan de Fuca Ridge)
Bibliographic record
Abstract
Focused on vent ecology, the TEMPO-mini ecological observatory module is deployed on the active Grotto hydrothermal edifice (Main Endeavour Field, Juan de Fuca Ridge), selected as a target site for the deep-sea cabled observatory Ocean Networks Canada. To study long-term temporal dynamics of vent communities, the camera was programmed to record 20-min video sequences six times a day (02.00, 06.00, 10.00, 14.00, 18.00 and 22.00 UTC) with three zoom levels per sequence corresponding to ‘large’, ‘medium’ and ‘fine’ views. The camera was focused on a Ridgeia piscesae tubeworm assemblage harbouring a dense community of associated fauna. Temporal variation in the observed abundances of four visible taxa (Ammotheidae pycnogonids, Polynoidae polychaetes, Buccinidae gastropods and Zoarcidae eelpouts) was quantified using the large and medium views (see Figure). To avoid ‘observer bias’ among consecutive measurements, video sequences were analysed in random order. The first observation strategy had a fixed daily observation time set at 10.00 UTC encompassing two years from 20 June 2013 to 20 June 2015. The second observation strategy was designed to identify seasonal components of macrofaunal and environmental variability. All six observations (observation frequency of TEMPO-mini) were analysed during one summer (June 2014) and three winters (November 2014, December 2014 and January 2015) months. These specific time windows were selected to minimize the amount of missing data generated by temporary shortcomings of the observatory and to maximize the presence of high-quality video imagery. Details on these observation methods and analyses conducted on a part of these datasets are published in Lelièvre et al. 2017 (DOI:10.1098/rspb.2016.2123).
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".