| Configuration: SMILES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0 Top-1 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSMILES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-1 accuracy |
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| Configuration: SELFIES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0 Top-1 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSELFIES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-1 accuracy |
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| Configuration: SELFIES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 21.84 (21.67-22.00) Top-10 MCES edge-edit distance · lower Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 21.67; upper: 22.00 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSELFIES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-10 MCES |
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| Configuration: SELFIES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0 Top-10 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSELFIES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-10 accuracy |
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| Configuration: SELFIES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 33.28 (33.00-33.57) Top-1 MCES edge-edit distance · lower Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 33.00; upper: 33.57 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSELFIES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-1 MCES |
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| Configuration: SMILES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 53.80 (52.95-54.61) Top-1 MCES edge-edit distance · lower Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 52.95; upper: 54.61 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSMILES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-1 MCES |
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| Configuration: Random chemical generation (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 28.59 (28.33-28.84) Top-1 MCES edge-edit distance · lower Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 28.33; upper: 28.84 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRandom chemical generation (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-1 MCES |
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| Configuration: SELFIES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0.15 (0.15 - 0.15) Top-10 Tanimoto dimensionless · higher Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.15; upper: 0.15 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSELFIES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-10 Tanimoto |
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| Configuration: SELFIES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0.10 (0.10 - 0.10) Top-1 Tanimoto dimensionless · higher Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.10; upper: 0.10 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSELFIES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SELFIES Transformer, Top-1 Tanimoto |
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| Configuration: SMILES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0 Top-10 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSMILES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-10 accuracy |
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| Configuration: Random chemical generation (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0 Top-10 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRandom chemical generation (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-10 accuracy |
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| Configuration: Random chemical generation (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 25.72 (25.49-25.95) Top-10 MCES edge-edit distance · lower Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 25.49; upper: 25.95 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRandom chemical generation (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-10 MCES |
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| Configuration: Random chemical generation (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0.10 (0.10 - 0.10) Top-10 Tanimoto dimensionless · higher Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.10; upper: 0.10 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRandom chemical generation (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-10 Tanimoto |
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| Configuration: Random chemical generation (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0 Top-1 accuracy fraction · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRandom chemical generation (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-1 accuracy |
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| Configuration: SMILES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0.07 (0.07 - 0.08) Top-1 Tanimoto dimensionless · higher Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.07; upper: 0.08 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSMILES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-1 Tanimoto |
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| Configuration: SMILES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0.17 (0.17 - 0.17) Top-10 Tanimoto dimensionless · higher Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.17; upper: 0.17 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSMILES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-10 Tanimoto |
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| Configuration: SMILES Transformer (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 21.97 (21.79-22.16) Top-10 MCES edge-edit distance · lower Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 21.79; upper: 22.16 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSMILES Transformer (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, SMILES Transformer, Top-10 MCES |
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| Configuration: Random chemical generation (main) | Protocol: MassSpecGym · main (MassSpecGym De novo molecule generation) Dataset: MassSpecGym · main | 0.07 (0.07 - 0.07) Top-1 Tanimoto dimensionless · higher Uncertainty: type: bootstrap confidence interval; level: 0.999; resamples: 20000; lower: 0.07; upper: 0.07 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRandom chemical generation (main): MassSpecGym · main Generate candidate molecules from an input spectrum. Compare within the same main/formula challenge and metric. Main random generation uses precursor mass; the Transformer consumes the spectrum. MCES single-linkage molecular clustering at threshold 10; fixed held-out test split Aggregation: Not reported MassSpecGym: A benchmark for the discovery and identification of molecules · Table 2, main challenge, Random chemical generation, Top-1 Tanimoto |
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