Defining a haul-out indicator for removal of crab-pot-strings in Offshore Windfarms under anticipated adverse weather conditions
Bibliographic record
Abstract
Crab-pot-strings with dahns and Bruce anchors have to be taken out of the water once sea conditions get too adverse. But what is exactly considered too adverse? The potential mobilisation of crab-pot-strings with dahns and Bruce anchors is a complex process not easily captured in a single indicator like wind force. An indicator was developed in this project on the base of the mechanisms of mobilisation (currents and waves hauling on the dahn). The Indicato rHaul-out was assembled based on Maximum extra Water Level as compared to Normaal Amsterdam Peil (= wind surge as a measure for currents), Swell and Average Significant Wave Height over 10 min. periods .A threshold of the Indicator Haul-out was defined for haul-out. When an Indicator Haul-out value is predictedof 445 cm using the predictions at Hoek van Holland and Eurogeul 13, the crab-pot-strings will be hauled out before this value will occur. Wageningen Marine Research will calculate this value during the entire experiment planned in PAWP in 2023. As an extra safeguard, two fishermen will also observe the weather and sea condition predictions. They will also give a warning when, based on their experience, sea condition gets too adverse for safe deployment of the strings. In both cases the project leader of Wageningen Marine Research will open a dialogue with the project leader of Eneco on how to proceed. The project leader of Eneco has the final decision on the obligation for haul-out.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".