Continuous wave and tide observations at BEFmate artificial islands in the back-barrier tidal flat, Spiekeroog, Germany, 2014-10 to 2017-04
Bibliographic record
Abstract
Data presented here were collected between October 2014 to April 2017 within the BEFmate project (Biodiversity - Ecosystem Functioning across marine and terrestrial ecosystems; https://www.icbm.de/verbundprojekte/befmate/ ) of the Universities of Oldenburg and Göttingen and the Nationalparkverwaltung Niedersächsisches Wattenmeer. Experimental islands and saltmarsh control plots were created in the back barrier tidal flat and in the saltmarsh zone of Spiekeroog island. Data were measured with a local installed wave logger next to the experimental islands in a tidal creek (0.71 m NHN). The wave logger used here is a RBRduo T.D / wave (RBR Ltd., Ontario/Canada). The sensor were pre-calibrated by the manufacturer. Sampling rate was 3Hz with 1024 samples per burst at a sample interval of 10 minutes. Recorded data were internal logged till readout with the Ruskin (V1.13.10) software and processed using MATLAB (R2012b). Data were visually checked and outliers removed. For depth calculations pressure data were manually corrected by atmospheric pressure. Low tide data is not removed. The position was derived from a portable DGPS-system. Date and Time is given in UTC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".