Fluorine Distribution in Fishery Water Body and Economic Fishes in Inner Mongolia
Bibliographic record
Abstract
Fluorine contents of 153 fishery waters were investigated in Inner Mongolia from 2003 to 2006.Five experimental water bodies in contrast with Ganggeng Lake were chosen according to water fluoride concentration,and their hydrochemistry characteristic and the fluorine distribution of main economic fish were analyzed.The results showed that the high fluorine water was widespread in Inner Mongolia;the hydrochemistry characteristic of five experimental water bodies was alkalinity water and higher pH with higher HCO-3 and higher Cl-;the fluorine content in different fish muscles were:Leuciscus waleckiiHypophthalmchthys molitrixCarassius auratusCyprinus carpio;fluorine content in fish muscle increased with the increasing of fluorine content in water body;the fluorine contents in gill,fin,scale and bone were very high,but the fluorine content in muscle and purtenance were relatively lower.
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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 | 0.000 | 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) | 0.001 | 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 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".