MOVEMENT OF A DRIFTING BUOY AFFECTED BY LEEWAY: FROM THE EMPEROR SEAMOUNT CHAIN TO THE WEST COAST OF CANADA
Bibliographic record
Abstract
天皇海山列の東方に漂流ブイを放流し，風圧流の影響を受けやすい漂流ブイの移動を観測することによって東日本大震災の津波で流出した漁船等の漂流事例の一部を明らかにする．放流された漂流ブイは蛇行しながら東方へ移動し，放流後155日以降カナダ西海岸のバンクーバー島沖合において概ね周回した．漂流ブイは放流後175日にバンクーバー島に最も近くに位置し，漁船等の漂流事例を概ね支持する．過去に観測した岩手県沖合から天皇海山列までの漂流ブイの移動時間等を参考にすると，岩手県沖合からカナダ西海岸までの漂流ブイの移動時間は概ね1年程度であり，漁船等の漂流事例を概ね支持する．漂流ブイ移動速度は海上風速度と高い相関があり，天皇海山列以東の漂流ブイの移動は海上風速度から推定できる可能性を示す．
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".