PATENT CLAIM ANALYSIS

Application Number: 16410480
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["702", "179000"]

Abstract:
A method for identifying the presence of at least one adulterant substance in a sample. The method comprises receiving sets of sample spectral data, reference spectral data, validation spectral data each set for a respective validation example, and adulterant substance spectral data for said at least one adulterant substance. From these residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data and the reference spectral data is determined and modified sample residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data, the reference spectral data and the adulterant substance spectral data is determined. The corresponding two residue data sets are also determined for each validation example. The method then includes performing least one comparison amongst the sample residue data, the modified sample residue data, the validation residue data, and the modified validation residue data; and determining a likelihood value for the presence of said at least one adulterant substance in said sample in dependence on said at least one comparison; and outputting said likelihood value.

Claim (Index 34):
The spectrometer according to  claim 26 , wherein the analysis module is to further receive, a set of adulterant substance spectral data for a plurality of adulterant substances and the spectral data processor further executing on the analysis module to:\n determine, respective modified sample residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data, the reference spectral data and each set of adulterant substance spectral data, and for each validation example, determine, respective modified validation residue data which is representative of a residue which would remain after performing a least squares fitting process between the validation spectral data for the respective example, the reference spectral data and each set of adulterant substance spectral data, wherein the performing of the at least one comparison, by the spectral data processor, comprises performing, by the spectral data processor, at least one comparison in respect of each adulterant substance; determining, by the spectral data processor, a likelihood value for the presence of each adulterant substance in said sample in dependence on said at least one comparison; and generating, by the analysis module using the likelihood value for the presence of each adulterant, a label for each respective adulterant substance indicating a likelihood that the respective adulterant substance is present in the physical sample.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 3.30645
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14913782', '10937248', '14420101', '15486333', '15986918']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1747172044103557
- 35 USC 102 Novelty (BERT): 0.6207537419316367
- Combined Prediction Score: 0.2193208581624838
- Mean Citation Score: 259.145544
- Max Citation Score: 587.3242
- Similarity Product: 494.7232665334106

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test