View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result measured Claim · model-written summary
Predicting data independent of crop type needed more principal components and gave higher RMSEPs than cross-validation results.
whole-plant-corn-silage e1 cross validation results e2 Verbatim
e1 “Moisture prediction models for whole-plant-corn-silage (WPCS) developed using static data ”
✓ located verbatim in the source · abstract, characters 289–378 e2 “Predicting data independent of type of crop resulted in the utilization of more PCs but with higher RMSEPs than the cross validation results ”
✓ located after whitespace/quote normalisation · abstract, characters 1085–1224 Other claims from this paper (5) Method / resource observed original result positive measured Claim · model-written summary
Cross-validation prediction errors were similar to fitting errors.
root mean squared errors of prediction (RMSEPs) e0 fitting errors e0 Verbatim
e0 “The root mean squared errors of prediction ( RMSEPs ) were similar to fitting errors ”
✓ located verbatim in the source · abstract, characters 1002–1084 Other claims from this paper (3) Method / resource observed original result measured Claim · model-written summary
On a new fruit season, PLS had RMSEP 1.87.
Verbatim
e0 “with RMSEPs of 1.18, 2.62, and 1.87, and bias of 0.16, 2.36 and 1.56 %FW, respectively. ”
✓ located verbatim in the source · abstract, characters 901–988 t0 “mango ”
✓ located verbatim in the source · title, characters 63–68 Other claims from this paper (10) Method / resource observed original result measured Claim · model-written summary
On a new fruit season, the ANN had RMSEP 2.62.
Verbatim
e0 “with RMSEPs of 1.18, 2.62, and 1.87, and bias of 0.16, 2.36 and 1.56 %FW, respectively. ”
✓ located verbatim in the source · abstract, characters 901–988 t0 “mango ”
✓ located verbatim in the source · title, characters 63–68 Other claims from this paper (10) Method / resource observed original result negative measured Claim · model-written summary
Crop-independent predictions had higher RMSEP than cross-validation results.
cross-validation results of the predicted dataset e0 Verbatim
e0 “Predicting data independent of type of crop resulted in the utilization of more PCs but with higher RMSEPs than the cross-validation results of the predicted dataset. ”
✓ located verbatim in the source · abstract, characters 1100–1266 Other claims from this paper (11) Method / resource observed original result measured Claim · model-written summary
On a new fruit season, the CNN had RMSEP 1.18.
2.62, and 1.87 e0 Verbatim
e0 “with RMSEPs of 1.18, 2.62, and 1.87, and bias of 0.16, 2.36 and 1.56 %FW, respectively. ”
✓ located verbatim in the source · abstract, characters 901–988 t0 “mango ”
✓ located verbatim in the source · title, characters 63–68 Other claims from this paper (10) Method / resource observed original result negative measured Claim · model-written summary
Crop-independent predictions used more PCs and had higher RMSEP.
cross-validation results e0 Not reported Value
Verbatim
e0 “Predicting data independent of type of crop resulted in the utilization of more PCs but with higher RMSEPs than the cross-validation results of the predicted dataset. ”
✓ located verbatim in the source · abstract, characters 1100–1266 Other claims from this paper (6) Method / resource observed original result measured Claim · model-written summary
The four reported prediction errors were 4.598, 8.657, 0.4586 and 5.106, but the abstract garbles their constituent mapping.
4.598, 8.657, 0.4586, and 5.106 e1 Schema note from the model: Constituent mapping is unclear due to missing words.
Verbatim
e0 “Near infrared spectroscopy (NIRS) and artificial neural networks were used for the quantitative prediction of four active constituents in rhubarb ”
✓ located verbatim in the source · abstract, characters 0–145 e1 “RMSEPs for the were 4.598, 8.657, 0.4586, and 5.106, respectively ”
✓ located verbatim in the source · abstract, characters 593–658 Other claims from this paper (5) Method / resource observed original result measured Claim · model-written summary
Crop-independent predictions required more PCs.
utilization of more PCs e0 Verbatim
e0 “Predicting data independent of type of crop resulted in the utilization of more PCs but with higher RMSEPs than the cross-validation results of the predicted dataset. ”
✓ located verbatim in the source · abstract, characters 1100–1266 Other claims from this paper (11) Method / resource observed original result positive measured Claim · model-written summary
A CCD portable spectrometer estimated wine grape ripeness with RMSEP 1.06 and R-2 0.942.
wine grape ripeness (degreesBrix value) e0 Verbatim
t0 “wine grapes ”
✓ located verbatim in the source · title, characters 86–97 e0 “RMSEPs of 1.06 with R-2 = 0.942 indicate that it is possible to estimate wine grape ripeness (degreesBrix value), by using a CCD portable spectrometer. ”
✓ located verbatim in the source · abstract, characters 1084–1235 Other claims from this paper (1) Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.
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Mangifera indica
Rheum rhabarbarum
Vitis vinifera