COMPARISON OF BIOLOGICAL CARBON BUDGET AMONG AREAS WITH DIFFERENT SEDIMENT PROPERTY IN A TIDAL FLAT
Bibliographic record
Abstract
底質性状に応じた干潟生態系の機能の特徴付けを目的とし，一次生産を担う底生微細藻類および分解・無機化を担う微生物の代謝活性と底質性状を示すパラメータとして特に有機物含有率との関係について調査した．その結果，干潟堆積物のTCによって生産,無機化および炭素固定量の特徴を4つに分類することができた．0.05% < TC < 1.2%の底質の干潟で生産・無機化が大きく，炭素を固定する傾向がみられた．また，150μm < D50 < 300μmの底質で藻類の生産量および現存量がともに大きく，この範囲が生産能の高い干潟に分類できた．さらに藻類由来の有機物が干潟堆積物中の易分解性有機物，微生物の代謝基質として重要な役割を果たしていると考えられた．
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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 | 0.000 | 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 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".