Effects of installation depth and recording start time on fish count and mean fork length of <i>Seriola quinqueradiata</i> measured by optical stereo cameras
Bibliographic record
Abstract
本研究では，ステレオカメラの設置深度や撮影時刻により，計測個体数や計測平均尾叉長が変化する可能性の検証を目的に，養殖ブリ生簀内の異なる深度に同時にステレオカメラを設置して12時間の撮影を行い，計測個体数や計測平均尾叉長のパネルデータ分析を行った。その結果，ステレオカメラの設置深度や撮影時刻により計測個体数や計測平均尾叉長が変化することが示唆された。この事実は，画角の限られるカメラ計測の特徴を示しており，正確なモニタリング実施には，ステレオカメラの設置深度の慎重な検討が必要であることが示唆された。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".