View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result positive measured Claim · model-written summary
Clustering refinement improved blueberry pixel clustering and NDVI calculation.
Outcomeclustering accuracy e0 Not reported Comparator Value
Verbatim
e0 “This enhanced clustering accuracy and enabled precise NDVI calculations. ”
✓ located verbatim in the source · abstract, characters 909–981 t0 “Blueberry ”
✓ located verbatim in the source · title, characters 54–63 Other claims from this paper (6) Method / resource observed original result positive measured Claim · model-written summary
The cluster ensemble process gives better clustering results than all traditional clustering algorithms.
Comparatortraditional clustering algorithm e0 Verbatim
e0 “Cluster Ensemble process (technique) generates clustering which gives better results as compared to all the traditional clustering algorithm ”
✓ located verbatim in the source · abstract, characters 991–1131 e1 “RCDA algorithm runs on chickpea germplasm dataset ”
✓ located verbatim in the source · abstract, characters 1133–1182 Other claims from this paper (1) Method / resource observed original result measured Claim · model-written summary
Pooled RAPD, ISSR and SSR clustering resembled RAPD clustering .
Outcomeclustering pattern e0 ComparatorRAPD clustering pattern e0 Verbatim
e0 “The pooled study of RAPD, ISSR and SSR generated clustering pattern appeared to be similar as RAPD clustering pattern. ”
✓ located verbatim in the source · abstract, characters 1179–1297 t0 “coconut ”
✓ located after whitespace/quote normalisation · title, characters 30–37 Other claims from this paper (9) Method / resource observed original result positive measured Claim · model-written summary
ANN clustering improved soybean genotype clustering patterns compared with the Ward-MLM procedure.
Outcomeclustering patterns e4 ComparatorWard-MLM procedure e4 Verbatim
e4 “ANN analysis improved soybean genotypes clustering patterns compared to Ward-MLM procedure ”
✓ located verbatim in the source · abstract, characters 1235–1325 Other claims from this paper (5) Association observed original result measured Claim · model-written summary
Marker clustering of accessions corresponded relatively well with phenotypic clustering .
Outcomeclustering of accessions e0 Comparatorclustering based on phenotypic characters e0 Not reported Direction
Verbatim
e0 “The clustering of accessions compared relatively well to clustering based on phenotypic characters. ”
✓ located verbatim in the source · abstract, characters 1029–1128 t0 “bambara groundnut ”
✓ located verbatim in the source · title, characters 33–50 Other claims from this paper (7) Method / resource observed original result positive measured Claim · model-written summary
At 1,280–1,320 nm, systematic clustering outperformed principal-component clustering .
Outcomeperformed better e0 Comparatorprincipal component clustering e0 Verbatim
e0 “In 1,280–1,320 nm, systematic clustering performed better than principal component clustering ”
✓ located verbatim in the source · abstract, characters 745–838 t0 “citrus ”
✓ located verbatim in the source · title, characters 20–26 Other claims from this paper (4) Association observed original result measured Claim · model-written summary
Genetic clustering agreed relatively well with phenotypic clustering .
Outcomeclustering of accessions e0 Comparatorclustering based on phenotypic characters e0 Not reported Direction
Verbatim
e0 “The clustering of accessions compared relatively well to clustering based on phenotypic characters ”
✓ located verbatim in the source · abstract, characters 1029–1127 t0 “bambara groundnut ”
✓ located verbatim in the source · title, characters 62–79 Other claims from this paper (7) Method / resource observed original result positive measured Claim · model-written summary
Average linkage clustering achieved 87% accuracy on herb leaves.
TreatmentAverage Linkage Clustering e0 Outcomeclustering accuracy e0 Verbatim
e0 “the use of Average Linkage Clustering method obtained clustering accuracy of 87% ”
✓ located verbatim in the source · abstract, characters 1185–1265 t0 “Herbs Leaves ”
✓ located verbatim in the source · title, characters 73–85 Other claims from this paper (1) Observation observed original result mixed measured Claim · model-written summary
Clustering based on yield traits differed from clustering based on molecular variation.
Outcomeclustering pattern e0 Comparatoryield related traits and molecular variation e0 Not reported Taxon
Verbatim
e0 “The clustering pattern basedon yield related traits and molecular variation wasdifferent ”
✓ located verbatim in the source · abstract, characters 496–584 Other claims from this paper (2) Association observed original result measured Claim · model-written summary
Clustering of kabuli genotypes based on quantitative traits was similar to molecular clustering for most genotypes.
Outcomeclustering pattern e0 Comparatormolecular clustering e0 Verbatim
e0 “Quantitative traits based clustering pattern was found to be similar to molecular clustering for most of the kabuli genotypes ”
✓ located verbatim in the source · abstract, characters 436–561 Other claims from this paper (2) 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.