Method / resourcemodel-written summary

The component biomass models had reported significant fits and minimal bias.

A claim from Species Specific Allometric Model for Biomass Estimation of Polyscias fulva Harms in Tumata Chirecha Agroforestry Gedeo Zone of Ethiopia: Implication for Sustainable Management and Climatic Change Mitigation · 2016

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

The component biomass models had reported significant fits and minimal bias.

Taxon
Polyscias fulva HarmsPolyscias fulvat0
Outcome
fit for linear models for all the componentse0
Value
P > 0.000e0
Qualifier
minimal biase0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Polyscias fulva
Polyscias fulva · TaxonKaren Wiebe · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“the post analysis was highly significant (P > 0.000) fit for linear models for all the components and displayed minimal bias”

✓ located verbatim in the source · abstract, characters 741–865
t0

“Polyscias fulva Harms”

✓ located verbatim in the source · title, characters 60–81

Title

Species Specific Allometric Model for Biomass Estimation of Polyscias fulva Harms in Tumata Chirecha Agroforestry Gedeo Zone of Ethiopia: Implication for Sustainable Management and Climatic Change Mitigation

Mulat, Abiy Journals & Books Hosting (International Knowledge Sharing Platform) 2016

Other claims from this paper (3)

Record rev-0dc2ef6a9ed0c1051e88a55096705f97cb5016f846849b70071cd0ed9a6cd4ad · schema claims-v0.9 · position 1 in the model’s answer