Bibliographic record
Abstract
To study the effects of water stress on the white aster plant on greenways within the urban area,its height,its density,number of flowers and species richness were recorded in a powerline corridor which is located north of Steeles Avenue West (43.779291, -79.504367 ),Concord,ON L4K 3C8,across York University. Data collection occurred October 2nd, 9th and 16th, 2014, from 2:30 pm to 5:30 pm. The weather on the first day was warm and sunny with a temperature of 16 degrees Celsius, on the second day it was cold (13 degrees Celsius) and sunny with some clouds, and on the last day it was cold (12 degrees Celsius) and it rained. The area where the experiment took place was a small drainage ditch in the corridor which was directly behind buildings along Steels Ave., separated by a fence. Sets of quadrats (1m x 1m) were taken along the edge of the drainage ditch at 1.5 meters apart, and they were taken at 3 different distances along a transect perpendicular to the ditch: 0 meters (at the very edge of the ditch), 10 meters from the ditch, and 20 meters from the ditch. This process was repeated until n = 21 quadrats were completed. For this experiment, we looked at how distance from the drainage ditch (main water source in the area) affects different features in quadrats. The variables measured in each quadrat were height of the white aster plant, species richness, density of white aster plants, number of flowers per white aster plant, and the soil temperature in the quadrat.The tools used in this dataset were: a quadrat made of metal (1m x 1m), a measuring tape,a Durac soil termometer. In each quadrat,every white aster height was measured in meters from the ground to the highest point of the plant using the measuring tape. Only the white asters whose roots were visually observed being in the quadrat area were measured ( If the stem was inside but the roots were outside,the plant wasn't counted). Plant species in the quadrat were differentiated observing the morphology and number of different species was recorded in each quadrat. Density of white aster was visually observed in each quadrat,looking from up to down. Number of flowers was counted for each white aster stem in a quadrat.Only the flowers that at the moment of sampling were open were counted. Soil temperature was measured burying the soil termometer in the middle of the area covered by the quadrat at the start of each sample and then the temperature was recorded at the end of the quadrat sampling. Plant species observed in the grassland included the following : Canada Goldenrob (Solidago canadensis), White Aster (Aster ericoides),Queen Anne's Lace (Daucus carota),Common Dandelion (Taraxacum officinale),Graminoids ( grasses).
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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) | 0.240 | 0.002 |
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; both teacher heads 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".