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Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Prediction errors matched the magnitude of calculated probable errors.

Taxon
tobacco plantNicotiana tabacume1
Outcome
Prediction errorse0
Direction
same magnitudee0
Comparator
calculated probable errorse0

Verbatim

e0

“Prediction errors were of the same magnitude as the calculated probable errors.”

✓ located verbatim in the source · abstract, characters 962–1041
e1

“living tobacco plant”

✓ located verbatim in the source · abstract, characters 580–600

Title

Temperature Predictions for Plant and Controlled-Resistance Artificial Leaves

John E. Morrison; Jr.; Billy J. Barfield Transactions of the ASAE 1981. doi:10.13031/2013.34421

Other claims from this paper (3)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Thermal conductance estimation errors were similar in order to porometer measurement errors.

Taxon
vineyarde1
Outcome
errors in thermal estimates of conductancee0
Comparator
measurement errors using a porometere0
Setting
Southern Portugale1

Verbatim

e0

“The errors in thermal estimates of conductance were of the same order as the measurement errors using a porometer”

✓ located verbatim in the source · abstract, characters 683–796
e1

“measured gs data from a vineyard in Southern Portugal”

✓ located verbatim in the source · abstract, characters 628–681

Title

Estimating stomatal conductance with thermal imagery

I. LEINONEN; O. M. GRANT; C. P. P. TAGLIAVIA; et al. Plant Cell & Environment 2006. doi:10.1111/j.1365-3040.2006.01528.x

Other claims from this paper (5)
Associationauthor interpretationoriginal resultnegativebasis n/a

Claim · model-written summary

The dependency of errors on the response variable of interest can increase the probability of errors.

Treatment
dependency of errors on the response variable of intereste0
Outcome
probability of errorse0
Direction
increasee0

Not reportedTaxon

Verbatim

e0

“The dependency of errors on the response variable of interest can influence the effect size and increase the probability of errors”

✓ located verbatim in the source · abstract, characters 2093–2223

Title

Accuracy of image analysis tools for functional root traits: A comment on Delory et al. (2017)

Laura Rose; Guillaume Lobet Methods in Ecology and Evolution 2019. doi:10.1111/2041-210x.13156

Other claims from this paper (15)
Method / resourceobservedoriginal resultnegativesignificant (as stated)simulated

Claim · model-written summary

Temperature data errors influenced both crop models significantly more than precipitation errors.

Taxon
cropt0
Outcome
influence on both modelse0
Direction
strongere0
Comparator
errors in precipitatione0

Verbatim

e0

“errors in temperature data have a significantly stronger influence on both models than errors in precipitation”

✓ located verbatim in the source · abstract, characters 521–631
t0

“a process-based crop model and a statistical crop model”

✓ located verbatim in the source · abstract, characters 451–506

Title

Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model

James Watson; Andrew J. Challinor; Thomas E. Fricker; et al. Climatic Change 2014. doi:10.1007/s10584-014-1264-3

Other claims from this paper (4)
Associationobservedoriginal resultsimulated

Claim · model-written summary

Simulated leaf area index errors were associated with daily simulated ET errors, varying by growth stage.

Organ / stage
growth stagee0
Outcome
errors in daily simulated ETe0
Qualifier
Errors in simulated leaf area indexe0

Not reportedDirection

Verbatim

e0

“Errors in simulated leaf area index were associated with errors in daily simulated ET, but the relationship varied with the growth stage”

✓ located verbatim in the source · abstract, characters 1671–1807
t0

“Wheat crop models”

✓ located verbatim in the source · title, characters 0–17

Title

Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments

H. Webber; D. Cooke; C. Wang; et al. Field Crops Research 2025. doi:10.1016/j.fcr.2025.110032

Other claims from this paper (6)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Prediction errors were low for the selected models.

Outcome
Prediction errorse0
Direction
lowe0

Not reportedComparatorValue

Verbatim

e0

“Prediction errors were low”

✓ located verbatim in the source · abstract, characters 1360–1386

Title

Prediction of organic acid concentration in BRS Capiaçu elephant grass silage

Isadora Osório Maciel Aguiar Freitas; Antonio Leandro Chaves Gurgel; Vitor Cardoso Queiroz; et al. Grassland Science 2025. doi:10.1111/grs.70019

Other claims from this paper (9)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The dewpoint method had theoretical errors.

Outcome
Theoretical errorse0
Comparator
dewpoint methode0

Not reportedTaxon

Verbatim

e0

“Theoretical errors in the dewpoint method of operation for these sensors were demonstrated.”

✓ located verbatim in the source · abstract, characters 279–370

Title

Theoretical and Experimental Errors for In Situ Measurements of Plant Water Potential

Kenneth A. Shackel PLANT PHYSIOLOGY 1984. doi:10.1104/pp.75.3.766

Other claims from this paper (5)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

A modified dewpoint procedure avoided these errors.

Outcome
errorse0
Comparator
modified procedure for dewpoint measuremente0

Not reportedTaxon

Verbatim

e0

“These errors were avoided by use of a modified procedure for dewpoint measurement.”

✓ located verbatim in the source · abstract, characters 716–798

Title

Theoretical and Experimental Errors for In Situ Measurements of Plant Water Potential

Kenneth A. Shackel PLANT PHYSIOLOGY 1984. doi:10.1104/pp.75.3.766

Other claims from this paper (5)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

SSEB errors were 22%.

Taxon
banana crope1
Outcome
errorse0
Direction
greatere0
Value
22%e0

Not reportedComparator

Verbatim

e0

“SSEB exhibited greater errors at 22%”

✓ located verbatim in the source · abstract, characters 923–959
e1

“banana crop”

✓ located verbatim in the source · abstract, characters 421–432

Title

Obtaining the daily actual evapotranspiration through remote sensing techniques application in Brazilian Semiarid

Camilla Kassar Borges; Rayonil Gomes Carneiro; Cleber Assis dos Santos; et al. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) 2021. doi:10.29150/jhrs.v11.1.p18-31

Other claims from this paper (4)
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Emission factor errors were the largest source of uncertainty, followed by temperature and foliar biomass errors.

Taxon
forestst0
Outcome
Largest uncertaintye0
Comparator
errors in temperature and foliar biomasse0

Verbatim

t0

“forests”

✓ located verbatim in the source · title, characters 86–93
e0

“Largest uncertainty results from errors of the emission factors followed by errors in temperature and foliar biomass.”

✓ located verbatim in the source · abstract, characters 1434–1551

Title

Uncertainty assessment of potential biogenic volatile organic compound emissions from forests with the Monte Carlo method: Case study for an episode from 1 to 10 July 2000 in Poland

G. Smiatek; M. Bogacki Journal of Geophysical Research Atmospheres 2005. doi:10.1029/2004jd005685

Other claims from this paper (6)

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