Bibliographic record
Abstract
By seeds soaking cultivation method,aqueous solution containing 1.00 mg/L,0.10 mg/L and 0.01 mg/L ginseng root exudates benzoic acid,diisobutyl succinate,1,2-benzenedicarboxylic acid bis(2-methylpropyl) ester,palmitic acid and 2,2-bis(4-Hydroxyphenyl) propane respectively were used to cultivate ginseng seeds in petri dish.After a period of time,radicle and hypocotyl length of ginseng seeds were measured to estimate the autotoxicity of allelochemicals on the germination of ginseng seeds.Results showed that,benzoic acid and 2,2-bis(4-Hydroxyphenyl) propane at 1.00 mg/L inhibited the growth of radicles significantly,palmitic acid inhibited the growth of hypocotyls very significantly.1,2-benzenedicarboxylic acid bis(2-methylpropyl) ester accelerated the growth of radicles at 0.10 mg/L,and except for 2,2-bis(4-Hydroxyphenyl) propane,other four root exudates inhibited the growth of hypocotyls at the same concentration.Benzoic acid and 1,2-benzenedicarboxylic acid bis(2-methylpropyl) ester accelerated the growth of radicles at 0.01 mg/L,palmitic acid and 2,2-bis(4-Hydroxyphenyl) propane showed inhibitory effects.Results indicated that autotoxicity of root exudates correlated to the chemical type and its concentration significantly,the autotoxicity of benzoic acid,2,2-bis(4-Hydroxyphenyl) propane and palmitic acid on the growth of radicles or hypocotyls more stronger,which concluded that phenolic acids and organic acids which exudated by roots of ginseng accelerated the development of continuously cropping obstacle.
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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) | 0.001 | 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 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".