View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result measured Claim · model-written summary
Cubic models found non - linear patterns in soybean cultivation data.
non-linear patterns e0 Not reported Direction
Verbatim
e0 “Trend analysis using cubic models further confirmed non - linear patterns in the data ”
✓ located verbatim in the source · abstract, characters 510–593 t0 “soybean cultivation ”
✓ located verbatim in the source · title, characters 41–60 Other claims from this paper (10) Method / resource observed original result measured Claim · model-written summary
Linear Regression gave reasonable outputs but struggled with non linear patterns .
reasonable outputs e0 e1 struggled with non-linear patterns e0 e1 Linear Regression e0 e1 Verbatim
e0 “Linear Regression provided reasonable outputs, but it struggled with non - linear patterns ”
✓ located verbatim in the source · abstract, characters 1053–1141 t0 “Aman rice ”
✓ located verbatim in the source · title, characters 62–71 e1 “The Random Forest model predicts Aman rice yields to reach 133.31 metric tonnes by 2030 (34.11 % of total rice production) ”
✓ located verbatim in the source · abstract, characters 1292–1414 Other claims from this paper (10) Method / resource observed original result positive measured Claim · model-written summary
The non - linear neural network gave satisfactory results compared with linear neural networks on corn monitoring data.
satisfactory results e2 Verbatim
e0 “Data was accrued from four corn fields inside the Midwest US ”
✓ located verbatim in the source · abstract, characters 296–356 e2 “with the non - linear network generating satisfactory results ”
✓ located verbatim in the source · abstract, characters 645–704 e3 “Linear and non - linear neural networks were used to analyze the information ”
✓ located verbatim in the source · abstract, characters 392–466 Other claims from this paper (1) Association observed original result measured Claim · model-written summary
The correlation between biodiversity and stability was non - linear and showed different patterns in the salinity and disturbance experiments.
salinity and disturbance experiments e1 correlation between biodiversity and stability e1 Not reported Direction
Verbatim
e0 “using all possible combinations of the three sedge species found in the pioneer plant community in the Yangtze River Estuary ”
✓ located verbatim in the source · abstract, characters 464–588 e1 “the correlation between biodiversity and stability was non - linear and presented different patterns in the salinity and disturbance experiments ”
✓ located verbatim in the source · abstract, characters 1021–1163 Other claims from this paper (5) Observation observed original result negative measured Claim · model-written summary
Plant-pathogen tissue damage produced non linear patterns relative to healthy samples.
non-linear data patterns e0 control set (healthy samples) e0 Not reported Taxon
Verbatim
e0 “Plant-pathogen interactions caused tissue damage that generated non - linear data patterns compared to the control set (healthy samples) ”
✓ located verbatim in the source · abstract, characters 595–729 Other claims from this paper (7) Observation observed original result simulated Claim · model-written summary
PTW captures non - linear growth responses that vary with phenological stages
phenological stages e2 non-linear growth responses e2 varying with phenological stages e2 Verbatim
e2 “The PTW model captures non - linear growth responses varying with phenological stages and identifies distinct patterns associated with yield performance and stability. ”
✓ located verbatim in the source · abstract, characters 656–821 e5 “to predict wheat yield ”
✓ located verbatim in the source · abstract, characters 296–318 Other claims from this paper (5) Method / resource observed original result measured Claim · model-written summary
A linear semivariogram model gave the best fit among the linear and non - linear candidate models for fruit damage in peach orchards.
candidates’ linear and non-linear models e2 Verbatim
e0 “This work studies for the first time, the fruit damage patterns inside organic peach orchards using geostatistical methods ”
✓ located verbatim in the source · abstract, characters 93–215 e1 “The peach twig borer Anarsia lineatella is the most common pest threat of peaches worldwide ”
✓ located verbatim in the source · abstract, characters 0–91 e2 “A linear semivariogram model provides the best fit among candidates’ linear and non - linear models based on the RSS and r2 ”
✓ located verbatim in the source · abstract, characters 217–338 Other claims from this paper (3) Observation observed original result measured Claim · model-written summary
Tomato nitrate influx kinetics showed multiphasic patterns .
multiphasic patterns e0 Verbatim
e0 “Influx kinetics, fitted to the data following a non - linear procedure, showed multiphasic patterns . ”
✓ located verbatim in the source · abstract, characters 337–435 t0 “tomato ”
✓ located verbatim in the source · title, characters 34–40 Other claims from this paper (7) Recommendation author interpretation original result basis n/a Claim · model-written summary
The authors recommend a more flexible non linear time function for trend analysis.
a more flexible, non-linear function for time e0 Verbatim
e0 “a more flexible, non - linear function for time ”
✓ located verbatim in the source · abstract, characters 1280–1325 t0 “barley ”
✓ located verbatim in the source · title, characters 28–34 Other claims from this paper (11) Association author interpretation original result measured Claim · model-written summary
The findings suggest non linear carbon accumulation influenced by factors beyond stem size.
non-linear growth patterns in carbon accumulation e0 Not reported Direction
Verbatim
e0 “Findings suggest non - linear growth patterns in carbon accumulation, influenced by factors beyond stem size ”
✓ located verbatim in the source · abstract, characters 804–910 t0 “Cassia siamea
✓ located verbatim in the source · title, characters 30–43 Other claims from this paper (4) 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.
Glycine maxt0
Zea mays subsp. mays
Triticum aestivum
Prunus persica
Anarsia lineatella
Solanum lycopersicum.jpg?width=60){kind=small}
Hordeum vulgare_flowers_W_IMG_0540.jpg?width=60){kind=small}
Senna siamea