Bibliographic record
Abstract
静岡大学地球科学研究報告 23(1996年7月)41貢-56貢 Geosci．Repts．ShizuokaUniv．，23(July，1996)，41-56 DissoIved organic copper compoundsin seawater Yoshimi SUzUKIl Abstract：TheconcentrationsofcopperOrganiccompounds dissoIvedinseawaterin the western North Pacific，Indian and SouthernOcean were determined from the collection of XAD-2 resin followed by atomic absorption spectrophotometry．The average concentration of totalcopper dissoIvedin surface wateris O・5pgrlfor the western North Pacific，0・7Llg 1-1for theIndianOcean andl．3FJgl￣1for theSouthern Ocean，reSpeCtivly；60to90％of this copperis organically bound． tral or basic organic compounds Theintimate correlation between acids adsorbed on the XAD-2resin POunds might t光POlymer organic ganic compounds suggests that COmPlexation．These amino acids POlynucleotides accompanied with Most of the copper Organic compounds areinvoIvedin neuwith a m01ecular size ranglng from 2×103 to 2×104． the organically bound copper and the combined amino indicate that theorganicligand to thecopperOrganiccom-matter．The composltion of the amino of the metal orfew speCies of amino acids are concerned with metal are not free butin a combined states，in polypeptides or Carbohydrates． Key words：COpper，SeaWater，meta1-0rganic compounds，mOlecular size lNTRODUCTJON Since the first report of BUGLIO et al．(1961)， who used ultra-filtration and dialysIS teChniques， many researchers have tried to find evidence for the existence of organically-aSSOCiated copper dis-
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.987 | 0.990 |
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".