Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dandelion originated in the Mediterranean coastal region, under suitable conditions, its seeds can spread and spread with the wind, and there are a large number of seeds. This article uses the WINDISPER-L model to analyze the propagation distance of seeds under different settling rates, settling heights, and wind speeds. And it was considered that the number of seeds and inflorescences may vary due to random factors such as climate during different growth cycles. After four growth cycles, most of the dandelion falls about 30 meters away from its mother body and grows and reproduces normally. Subsequently, when establishing a risk assessment system for invasive species, three aspects were considered: the characteristics of the species themselves, the natural environment, and human activities. The Analytic Hierarchy Process (AHP) was used to assign weights to indicators at each level, and ultimately all indicators at all levels passed the consistency test. And use a risk assessment system to calculate the potential risks that may arise from the invasion of dandelion, Canadian Solidago, and Ambrosia trifida. This can provide some inspiration and reference for corresponding managers in evaluating whether a species is an invasive species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it