YorkU.grasslanddisturbed.oct3-2016
Notice bibliographique
Résumé
Metadata Census 1 (Emma): abundance.native.plants refers to the total number of individual native (to Ontario) plants found in the quadrat. Rep represents the replicates which are each time we did the procedure. Abundance.exotic.plants refers to the number of non- native (to Ontario) plants found in the quadrat every replication. Total.number.flowers (quadrat) refers to the total number of flower heads found every replication in the quadrat. The quadrat sampling was done a 50 meter transect and the quadrant was randomly placed every 2 m and alternated sides. This data set is categorical data. Census 3 replicate 17 (Bukunmi) : Abundance.vertebrates refers to the total number of vertebrates that were counted along a 50 meter transect in a 15-minute interval. Vertebrates.species referes to the number of different species that were recorded along the transect. Abundance.humans referes to the total number of people that did not partake in the ecology lab but were counted and recorded in the 15 minutes. Abundance.invertebrates: referes to the total number of individual invertabrates that were counted along 5 meters of the 50 in 15 minutes. This categorical data was collected using point surveys. Census 3 replicates 1 -16 (Rania): abundance.invertebrates.pantraps refers to the total number of invertebrates found in each pan trap. The categorical data set was collected using pan traps that were placed 3 meters apart in a straight line. The pan traps were 1 of 3 colours; blue, white, yellow. Abundance.invertabrates.sweeps referes to the total number of invertebrates found at the end of each sweep. In total 10 sweeps were performed along a 50 meter transect. This categorical data was collected using sweep nets and each sweep took about 40 seconds. Census 2 (Angel): Using two transects to create a 50-meter line across the grassland. Every two meters, she collected data on how many trees (more than 1.5 meters in height) were present within 0.5 meters of the transect. Se also estimated the canopy coverage of the tress present by looking up and estimating how much of the sky was covered by branches. Vegetation coverage was also estimated by looking down and noting how much live vegetation was present with 0.5 meters of the transect at each point. Within the same area, the number of flowers present was also counted. Description: The purpose of this data set is to compare different campus environments. This data collection took place on October 3rd 2016 at the grassland collection took place near Stong pond on York University campus from 2:45 to 3:40pm on a cloudy day warm day. The disturbed area collection took place just off of Library Lane and at around 3:40 – 4:40pm The ground was also damp. The equipment that was used was; sweep nets, transects quadrats and pan traps. Most of the collections used a 50 meter transect as a guideline and the collections were done along it. Hypothesis That the grasslands will have for species and more species abundance than the disturbed area. Predictions 1. - The number of exotic species would be higher in the grassland for census 1 2. - More species in the grass land due since the disturbed area is disturbed and bothered and very scarce coverage. 3. - Also more variety in grassland due to the lack of speciation in the disturbed area.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,735 | 0,536 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».