Bibliographic record
Abstract
Biogenic siliceous and calcareous sediments were drilled at sites 677 and 678 on the flank of Costa Rica Rift in the Panama basin. We analysed DCAA (dissolved combined amino acids) and DFAA (dissolved free amino acids) in the interstitial waters as well as THAA (total hydrolyzable amino acids) in the sediments in order to evaluate the relationship between THAA, DCAA and DFAA. Comparison of the THAA in the sediments and in marine settling particulate matter (Ittekkot et al., 1984 b) showed that the concentration of non-protein amino acids (e. g., beta-alanine, gamma-aminobutyric acid, and ornithine) was much higher in the sediments and that the neutral amino acid fraction was depleted in the sediments. These results, together with the organic carbon profile, indicated that the production of non-protein amino acids occurred mainly at shallow depth but still continued through the sedimentary column, at a slow rate and that the neutral amino acid fraction was more liable to decomposition than the acidic and basic amino acid fractions. The positive correlation between total DCAA and the DFAA and the weak correlation of the total amino acid concentrations between the interstitial waters and sediments suggested that biological and/or chemical reaction rates between the DCAA and the DFAA were much higher than the digestion and/or transformation rates of the THAA in the sediments. The higher ratio of neutral to acidic amino acid fractions in the DFAA than in the DCAA was attributed mainly to reaction or adsorption with carbonates and partly to the contribution of decomposed products of the neutral fraction in the THAA of the sediments.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.009 | 0.003 |
| Insufficient payload (model declined to judge) | 0.991 | 0.993 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".