The Comprehensive Evaluation of the Ornamental Flower Plants Introduced from Canada by the Application of Hierarchy-relation Analysis
Bibliographic record
Abstract
Eighteen species of herbaceous flowers which were introduced from Canada were cultivated in Guanzhong plain of Shaanxi.The method of hierarchy-relation analysis of AHP in combination with grey relational grade theory were taken to do comprehensive evaluation based on the indicators of flower color,blooming period,flower aesthetics and drought resistance,cold tolerance,and so on.Analyzing results indicated that Lavatera trimestris,Papaver nudicaule,Impatiens sultanii and Campanula medium had low scores with poor adaptability;the other eight species flowers Anchusa azurea,Tithoniao tundifilia,Digitalis purpurea,Salvia farinacea which could adapt to the environment of Guanzhong plain had higher ornamental value and better adaptability,and they were worth to popularize in the areas around Shaanxi.
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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 | 0.001 |
| 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) | 0.000 | 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".