Frankeniaceae 181 claims

family · order Caryophyllales · 22 taxa · NCBI Taxonomy ↗

22 entries

Frankenia thymifolia52 claims · 8 papers Frankenia laevis24 claims · 6 papers Frankenia pulverulentaalso F. pulverulenta or F. repens23 claims · 8 papers Frankenia17 claims · 7 papers Frankenia ericifoliaalso F. ericifolia C. Sm. ex DC10 claims · 2 papers Frankenia salina9 claims · 3 papers Frankenia hirsuta7 claims · 2 papers Frankenia pauciflora7 claims · 2 papers Frankenia fruticosa6 claims · 1 paper Frankeniaceae6 claims · 3 papers Frankenia foliosa5 claims · 2 papers Frankenia serpyllifolia3 claims · 1 paper Frankenia palmeri2 claims · 2 papers Frankenia repensalso F. pulverulenta or F. repens2 claims · 1 paper Frankenia sahariensisalso F. florida L.Chevall2 claims · 1 paper Frankenia anneliseae1 claim · 1 paper Frankenia dinterialso F. densa Pohnert1 claim · 1 paper Frankenia gypsophila1 claim · 1 paper Frankenia juniperoides1 claim · 1 paper Frankenia nummularia1 claim · 1 paper Frankenia salsuginea1 claim · 1 paper Frankenia tuvinica1 claim · 1 paper

181 claims

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Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Stepwise intervention and reweighting reduced confounding bias and improved generalizable features.

Taxon: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.Cynodon dactylon Oxalis strictaPhyla nodifloraFrankenia thymifoliae1
Outcome: confounding biase0
Direction: reducede0

Not reportedComparatorValue

Verbatim

e0
“using the stepwise intervention and reweighting (SIR) method at different encoder stages reduced confounding bias and enabled the models to learn more generalizable and task-relevant features”
✓ located verbatim in the source · abstract, characters 898–1089

e1
“four ground cover crops: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.”
✓ located verbatim in the source · abstract, characters 713–825

Title

Improving Ground Cover Crop Fractional Vegetation Mapping via Causality-Based Deep Representation Learning

Atif Latif; Masoumeh Hashemi; Matt Yost; et al. Machine Learning and Knowledge Extraction 2026. doi:10.3390/make8020044

Other claims from this paper (4)

Method / resource The causal augmented model achieved 94.80% accuracy, outperforming comparison models.
Method / resource The causal augmented model achieved 94.97% precision.
Method / resource The causal augmented model achieved 94.35% recall.
Method / resource The causal augmented model achieved 94.62% F1-score.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The causal augmented model achieved 94.80% accuracy, outperforming comparison models.

Taxon: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.Cynodon dactylon Oxalis strictaPhyla nodifloraFrankenia thymifoliae1
Outcome: accuracye0
Direction: outperformede0
Value: 94.80%e0
Comparator: non-causal baselinese0

Verbatim

e0
“the proposed FCN + ResNet-50 model with causality learning and data augmentation achieved an accuracy of 94.80%, a precision of 94.97%, a recall of 94.35%, and an F1-score of 94.62%, which outperformed non-causal baselines and state-of-the-art transformer-based models including SegFormer and Mask2Former”
✓ located verbatim in the source · abstract, characters 1192–1496

e1
“four ground cover crops: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.”
✓ located verbatim in the source · abstract, characters 713–825

Title

Improving Ground Cover Crop Fractional Vegetation Mapping via Causality-Based Deep Representation Learning

Atif Latif; Masoumeh Hashemi; Matt Yost; et al. Machine Learning and Knowledge Extraction 2026. doi:10.3390/make8020044

Other claims from this paper (4)

Method / resource Stepwise intervention and reweighting reduced confounding bias and improved generalizable features.
Method / resource The causal augmented model achieved 94.97% precision.
Method / resource The causal augmented model achieved 94.35% recall.
Method / resource The causal augmented model achieved 94.62% F1-score.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The causal augmented model achieved 94.97% precision.

Taxon: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.Cynodon dactylon Oxalis strictaPhyla nodifloraFrankenia thymifoliae1
Outcome: precisione0
Value: 94.97%e0

Not reportedDirection

Verbatim

e0
“a precision of 94.97%”
✓ located verbatim in the source · abstract, characters 1305–1326

e1
“four ground cover crops: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.”
✓ located verbatim in the source · abstract, characters 713–825

Title

Improving Ground Cover Crop Fractional Vegetation Mapping via Causality-Based Deep Representation Learning

Atif Latif; Masoumeh Hashemi; Matt Yost; et al. Machine Learning and Knowledge Extraction 2026. doi:10.3390/make8020044

Other claims from this paper (4)

Method / resource Stepwise intervention and reweighting reduced confounding bias and improved generalizable features.
Method / resource The causal augmented model achieved 94.80% accuracy, outperforming comparison models.
Method / resource The causal augmented model achieved 94.35% recall.
Method / resource The causal augmented model achieved 94.62% F1-score.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The causal augmented model achieved 94.35% recall.

Taxon: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.Cynodon dactylon Oxalis strictaPhyla nodifloraFrankenia thymifoliae1
Outcome: recalle0
Value: 94.35%e0

Not reportedDirection

Verbatim

e0
“a recall of 94.35%”
✓ located verbatim in the source · abstract, characters 1328–1346

e1
“four ground cover crops: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.”
✓ located verbatim in the source · abstract, characters 713–825

Title

Improving Ground Cover Crop Fractional Vegetation Mapping via Causality-Based Deep Representation Learning

Atif Latif; Masoumeh Hashemi; Matt Yost; et al. Machine Learning and Knowledge Extraction 2026. doi:10.3390/make8020044

Other claims from this paper (4)

Method / resource Stepwise intervention and reweighting reduced confounding bias and improved generalizable features.
Method / resource The causal augmented model achieved 94.80% accuracy, outperforming comparison models.
Method / resource The causal augmented model achieved 94.97% precision.
Method / resource The causal augmented model achieved 94.62% F1-score.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The causal augmented model achieved 94.62% F1-score.

Taxon: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.Cynodon dactylon Oxalis strictaPhyla nodifloraFrankenia thymifoliae1
Outcome: F1-scoree0
Value: 94.62%e0

Not reportedDirection

Verbatim

e0
“an F1-score of 94.62%”
✓ located verbatim in the source · abstract, characters 1352–1373

e1
“four ground cover crops: Phyla nodiflora L., Cynodon dactylon, Frankenia thymifolia Desf., and Oxalis stricta L.”
✓ located verbatim in the source · abstract, characters 713–825

Title

Improving Ground Cover Crop Fractional Vegetation Mapping via Causality-Based Deep Representation Learning

Atif Latif; Masoumeh Hashemi; Matt Yost; et al. Machine Learning and Knowledge Extraction 2026. doi:10.3390/make8020044

Other claims from this paper (4)

Method / resource Stepwise intervention and reweighting reduced confounding bias and improved generalizable features.
Method / resource The causal augmented model achieved 94.80% accuracy, outperforming comparison models.
Method / resource The causal augmented model achieved 94.97% precision.
Method / resource The causal augmented model achieved 94.35% recall.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The analysis produced the most complete Frankenia phylogenetic trees to date.

Taxon: FrankeniaFrankeniae0
Outcome: phylogenetic treese0

Not reportedValue

Verbatim

e0
“the most complete phylogenetic trees of Frankenia to date”
✓ located verbatim in the source · abstract, characters 941–998

Title

Appearances Can Be Deceptive: Morphological, Phylogenetic, and Nomenclatural Delineation of Two Newly Named African Species Related to Frankenia pulverulenta (Frankeniaceae)

María Ángeles Alonso; Manuel B. Crespo; Jordi Abad-Brotons; et al. Plants 2025. doi:10.3390/plants14071130

Other claims from this paper (5)

Observation F. florida was reinstated as an independent species.
Observation F. densa was reinstated as an independent species.
Observation The names F. sahariensis and F. dinteri were proposed.
Observation Morphology, distribution, ecology, and phylogenetics supported distinctness from F. pulverulenta.
Observation Two new lectotypes were designated.

Observationobservedoriginal resultbasis n/a

Claim · model-written summary

F. florida was reinstated as an independent species.

Taxon: F. florida L.Chevall.Frankenia sahariensise0
Outcome: reinstatemente0

Verbatim

e0
“reinstatement of two African species broadly differing morphologically from F. pulverulenta. Firstly, F. florida L.Chevall.”
✓ located verbatim in the source · abstract, characters 1015–1138

Title

Appearances Can Be Deceptive: Morphological, Phylogenetic, and Nomenclatural Delineation of Two Newly Named African Species Related to Frankenia pulverulenta (Frankeniaceae)

María Ángeles Alonso; Manuel B. Crespo; Jordi Abad-Brotons; et al. Plants 2025. doi:10.3390/plants14071130

Other claims from this paper (5)

Method / resource The analysis produced the most complete Frankenia phylogenetic trees to date.
Observation F. densa was reinstated as an independent species.
Observation The names F. sahariensis and F. dinteri were proposed.
Observation Morphology, distribution, ecology, and phylogenetics supported distinctness from F. pulverulenta.
Observation Two new lectotypes were designated.

Observationobservedoriginal resultbasis n/a

Claim · model-written summary

F. densa was reinstated as an independent species.

Taxon: F. densa PohnertFrankenia dinterie0
Outcome: species endemic to southern Namibia and northern South Africae0

Verbatim

e0
“F. densa Pohnert, a species endemic to southern Namibia and northern South Africa”
✓ located verbatim in the source · abstract, characters 1327–1408

Title

Appearances Can Be Deceptive: Morphological, Phylogenetic, and Nomenclatural Delineation of Two Newly Named African Species Related to Frankenia pulverulenta (Frankeniaceae)

María Ángeles Alonso; Manuel B. Crespo; Jordi Abad-Brotons; et al. Plants 2025. doi:10.3390/plants14071130

Other claims from this paper (5)

Method / resource The analysis produced the most complete Frankenia phylogenetic trees to date.
Observation F. florida was reinstated as an independent species.
Observation The names F. sahariensis and F. dinteri were proposed.
Observation Morphology, distribution, ecology, and phylogenetics supported distinctness from F. pulverulenta.
Observation Two new lectotypes were designated.

Observationobservedoriginal resultbasis n/a

Claim · model-written summary

The names F. sahariensis and F. dinteri were proposed.

Taxon: F. sahariensisFrankenia sahariensise0
Outcome: two new names are proposede0

Verbatim

e0
“two new names are proposed for them: F. sahariensis and F. dinteri”
✓ located verbatim in the source · abstract, characters 1604–1670

Title

Appearances Can Be Deceptive: Morphological, Phylogenetic, and Nomenclatural Delineation of Two Newly Named African Species Related to Frankenia pulverulenta (Frankeniaceae)

María Ángeles Alonso; Manuel B. Crespo; Jordi Abad-Brotons; et al. Plants 2025. doi:10.3390/plants14071130

Other claims from this paper (5)

Method / resource The analysis produced the most complete Frankenia phylogenetic trees to date.
Observation F. florida was reinstated as an independent species.
Observation F. densa was reinstated as an independent species.
Observation Morphology, distribution, ecology, and phylogenetics supported distinctness from F. pulverulenta.
Observation Two new lectotypes were designated.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Morphology, distribution, ecology, and phylogenetics supported distinctness from F. pulverulenta.

Taxon: F. pulverulentaFrankenia pulverulentae0
Outcome: distinctiveness from F. pulverulentae0

Verbatim

e0
“data on their morphology, distribution, ecology, and molecular phylogenetics, which demonstrate their distinctiveness from F. pulverulenta”
✓ located verbatim in the source · abstract, characters 1745–1883

Title

Appearances Can Be Deceptive: Morphological, Phylogenetic, and Nomenclatural Delineation of Two Newly Named African Species Related to Frankenia pulverulenta (Frankeniaceae)

María Ángeles Alonso; Manuel B. Crespo; Jordi Abad-Brotons; et al. Plants 2025. doi:10.3390/plants14071130

Other claims from this paper (5)

Method / resource The analysis produced the most complete Frankenia phylogenetic trees to date.
Observation F. florida was reinstated as an independent species.
Observation F. densa was reinstated as an independent species.
Observation The names F. sahariensis and F. dinteri were proposed.
Observation Two new lectotypes were designated.