Bibliographic record
Abstract
The Cruise of Chinese Second Arctic Science Expedition were conducted from July to September 2003, The concentrations of total hydrolyzable amino acids (THAA), hexosamines(HA) in the Chukchi Sea and Canada Basin surface sediment samples were measured. The major compositions were different between areas, in Chukchi Sea, Glutamic acid(Glu), Glycine (Gly) were the major forms of amino acid, while Serine(Ser) took the main part at the Stations B80, B11,P27 in Canada Basin, and features in sediments included total organic carbon(TOC),total nitrogen(TN),THAA,HA ,etc. varied greatly with different areas, TOC, HA were lowest at BS11 and that THAA,TN were lowest at B80; TOC, TN were highest at R03 while R11 had the highest THAA and P11 had the hightest HA. The spatial variation of amino acids in surface sediments of Chukchi Sea-Canada Basin was discussed, DI'' was introduced according to amino acid selective preservation and Principal Component Analysis to investigate the organic matter degradation of the seven stations sediments, by which we sort them as C15BS11R11S11P11R03B80, the sequence was related to sediment sources and hydrographic conditions. This indicated Bering Strait organic matter in sediments was fresher than Chukchi Cape and Canada Basin, between which was Chukchi shelf.
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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 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".